What is this position about?

The Senior Fund Accountant has responsibility for the accurate and timely delivery of fund accounting services, with a significant focus on unit pricing and reporting activities. 

In this role, the Senior Fund Accountant works with clients, internal and other external stakeholders as a subject matter expert to facilitate excellent client delivery.

Primary Role Responsibilities

• Delivery of accurate unit prices and reporting, in accordance with timing specified in client SLAs.
• Review and approve unit prices, exception reporting and other client reporting generated by offshore teams for client delivery.
• Review and approve client instructions for fee processing, cash and rebalancing, static data setups and ensures no adverse impacts to unit prices. 
• Main point of contact for client queries.
• Main liaison point with Registry on unit reconciliation differences. 
• Work with internal teams to reduce and interrogate reconciliation differences and identify themes to be addressed. 
• Ensure consistency across client reporting; unit pricing and accounting packs are aligned.
• Ensure controls are maintained at all times and procedures and escalation protocols are adhered to.

Other contributions

• Participate in transversal projects and transitions as the subject matter expert from Fund Accounting and facilitate collaboration and excellent client delivery.
• Assist internal teams with their queries to achieve the best outcomes for the bank.

What is required for you to succeed?

• 5+ years industry experience in a custodian or similar fund accounting role with unit pricing and some understanding of the full-service model including tax and regulatory reporting.
• Technical accounting ability:  Knowledge of fund accounting, unit pricing, reporting and tax and related operational risk and compliance requirements of the client service function.  
• You have the ability to provide pragmatic and commercial solutions in problem solving.
• The successful candidate has an inquisitive and questioning mindset and good time management skills, with the ability to meet critical deadlines in the area.
• Demonstrated quality focus ensuring reports and the handling of queries or issues meet the requirements of departmental or client Service Level Agreements.  
• Operating from a customer-focused work ethic, you have the ability to think with an improvement focus, always looking to enhance the service you and the team provide.   
• Effective communication skills and good interpersonal skills.  You have experience in liaising and working effectively with colleagues across various teams, including offshore teams.
• You have the ability to question or escalate issues for resolution. You actively seek to resolve queries or reconciliation items for the clients you support, ensuring appropriate treatment. You ensure work completed meets compliance standards in terms of signoff. 
• You enjoy participating fully in a team, assisting with the technical growth and development of team members where possible.

About BNP PARIBAS

BNP Paribas is a top-tier European and international banking establishment, with an uninterrupted presence in the APAC region since 1860 and in Australia since 1881. Combining global expertise and local know-how, BNP Paribas in Australia and New Zealand delivers solutions to our clients through Corporate and Institutional Banking and Asset Management – a bridge between corporate and institutional clients.

We passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued and encourage applicants of all backgrounds, including diversity of origin, age, gender, sexual orientation, gender identity, religion applicants who may be living with a disability. We have a number of internal employee networks in place to empower our staff to act and challenge the status quo.

BNP Paribas PRIDE is highly active in favour of the LGBTQIA+ community

BNP Paribas MixCity which fosters better representation of women at all levels of the organization

Ability, the mutual aid network for employees with a disability or a disabling or chronic illness

BNP Paribas CulturAll which celebrates diverse backgrounds

BNP is committed to financing a carbon-neutral economy by 2050. The Group is a founding member of the Net-Zero Banking Alliance and has set up its own Low Carbon Transition Group to support its clients through their energy transitions.

If you require any reasonable adjustments during the recruitment process, please feel free to reach out to us at bnpp.hrss.recruitment.operations@asia.bnpparibas.com or +61 2 9216 8633 (and ask for the Talent Acquisition Manager in the HR Team).

https://careers.apac.bnpparibas/

More information 

BNP Paribas – Diversity & Inclusion Journey 

BNP Paribas – The Bank Of Green Changes 

Award Obtained

BNPP has won Top employer Europe award in a 10th consecutive year

What is this position about?

We are seeking an experienced Senior Data Scientist with a strong background in AI and Data Science to join our Data Science team at BNP Paribas Wealth Management Asia. This is an exciting opportunity to play a pivotal role in establishing our Asia AI Center of Excellence (COE) under the leadership of the Chief Digital & Data Officer. In this high-impact role, you will leverage cutting-edge machine learning and AI techniques to drive data-centric innovations in wealth management with the following key objectives:

•    Define, prioritize & execute our AI strategy & plan, Maximize AI’s value creation 

•    Identify key technologies & partners to design & implement the entity’s AI governance, 

•    Build its tech stack, workflows, processes & standards for development & industrialization

•    Leverage the Group AI ecosystem to optimize synergies & re-use of common, standardized tech stacks

•    Under a “One Bank” approach, develop collaborations with other Group entities (CIB, AM & Retail banks).

•    Promote a “analytics” & “AI everywhere, for everyone” mindset for all BNPP Wealth Management staff

Your expertise will be crucial in shaping the AI strategy, developing advanced analytics models, and ensuring that AI technologies are embedded seamlessly into various client-facing and business functions. This is a chance to be part of a transformative journey as we set the foundation for AI-driven solutions in our Bank. 

Primary Role Responsibilities

•    AI Center of Excellence Development:

Partner with the Chief Digital & Data Officer and senior leadership to build and expand the AI Center of Excellence (COE), setting the strategic direction for AI adoption across the bank. Champion best practices, governance, and ethical AI frameworks, ensuring that AI initiatives align with the bank’s broader digital transformation objectives.

•    Industrialization of our AI Priorities:

Drive AI-powered initiatives by developing advanced machine learning models that tailor banking services and financial advice to the unique preferences, behaviors, and needs of each client and staff. Utilize predictive analytics to forecast client behaviors, market trends, and potential risks. Build advanced models for credit risk scoring, churn prediction, and portfolio optimization that enable proactive decision-making and enhance financial outcomes. Leverage deep learning, recommender systems, and predictive analytics to deliver individualized experiences that improve overall satisfaction and loyalty.  

•     AI Model Development & Deployment:

Lead the design, development, and deployment of machine learning models, including deep learning, reinforcement learning, and natural language processing (NLP), to address business challenges in client segmentation, wealth management, fraud detection, and client experience optimization.

•    Collaboration Across Functions:

Work cross-functionally with teams in Front Office, Investment services, Sales Management & Marketing, Credit, Control functions (Risk, Compliance, Operations etc.) to integrate AI solutions into various daily activities. Ensure that AI models are seamlessly embedded into client-facing platforms, mobile applications, and backend systems to provide a cohesive experience across all touchpoints.

•    Leadership and Mentorship:

Provide mentorship and foster a culture of innovation, knowledge-sharing, and continuous learning with peers & colleagues. Bring the entire workforce on the journey of AI for upskilling/ re-skilling.

•    Data Strategy & Data Quality:

Ensure that high-quality, accurate, and reliable data is available for building AI models. Establish best practices for data collection, data cleaning, and data governance. Collaborate with other data-related functions to build scalable data pipelines for model training and deployment.

•    AI Ethics & Compliance:

Ensure that AI applications comply with regulatory requirements and ethical standards, particularly in the context of Wealth Management, where sensitive client data and privacy concerns are paramount. Work with legal and compliance teams to ensure transparency, fairness, and accountability in AI model outputs.

•    Continuous Model Monitoring & Optimization:

Implement robust monitoring systems to track the performance of AI models and adjust for evolving client needs, business requirements, and market conditions. Optimize models in real-time based on feedback loops and ongoing performance data.

•    Innovation & Research:

Stay abreast of the latest advancements in AI, machine learning, and data science research. Apply cutting-edge techniques to further improve personalization algorithms, fraud detection, and other AI-powered banking solutions.

What is required for you to succeed?

•    Education:

Master’s or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.

•    Experience:

5 to 7+ years of experience in data science, with at least 2 years in a senior or leadership role, preferably in financial services, banking, or technology sectors. Experience with AI implementation/industrialization in a client-centric environment (e.g., personalization, recommendations) is a strong advantage.  Good knowledge of agile methodologies, design thinking, Test&Learn & A/B testing approaches

•    Advanced Technical Expertise:

o    Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and libraries for model development.

o    Deep expertise in deep learning, reinforcement learning, and natural language processing (NLP), particularly for developing recommendation systems and personalization models.

o    Strong programming skills in Python, R, and SQL. Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Google Cloud, Azure).

o    Expertise in building and optimizing end-to-end machine learning pipelines and managing model deployment at scale.

o    Good knowledge in Generative AI specific skills: prompt engineering, RAG approaches, agentic AI, automated robustness and performance evaluation, production monitoring

•    Domain Knowledge:

Strong understanding of banking and financial services, with a focus on areas such as wealth management, client behavior & analytics, risk management and fraud detection.

•    Leadership & Collaboration:

Proven ability to lead cross-functional teams and influence key stakeholders. Excellent communication skills to articulate complex technical concepts to non-technical audiences 

•    Ethical & Regulatory Compliance:

Understanding of the ethical considerations of AI and its regulatory landscape in the financial sector. Experience in ensuring models comply with data privacy and GDPR regulations.

•    Strategic Thinking:

Experience in defining AI strategies and embedding AI into an organization’s core functions. Ability to assess business needs and translate them into actionable AI-driven solutions.

Preferred Skills:

•    Experience in setting up or working within an AI Center of Excellence (COE).

•    Familiarity with AI-driven automation for client service (e.g., chatbots, virtual assistants).

•    Advanced data visualization skills using tools like Tableau, Power BI, or custom Python libraries (e.g., Matplotlib, Seaborn).

•    Thought leader in the AI community.

About BNP PARIBAS

As the leading European Union bank, and one of the world’s largest financial institutions with an uninterrupted presence in the region since 1860, BNP Paribas offers a wide range of financial services for corporate, institutional and private investors spanning corporate and institutional banking, wealth management, asset management and insurance. 

We passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued and encourage applicants of all backgrounds, including diversity of origin, age, gender, sexual orientation, gender identity, religion applicants who may be living with a disability. We have a number of internal employee networks in place to empower our staff to act and challenge the status quo.

•    BNP Paribas PRIDE is highly active in favour of the LGBTQIA+ community

•    BNP Paribas MixCity which fosters better representation of women at all levels of the organization

•    Ability, the mutual aid network for employees with a disability or a disabling or chronic illness

•    BNP Paribas CulturAll which celebrates diverse backgrounds

BNP is committed to financing a carbon-neutral economy by 2050. The Group is a founding member of the Net-Zero Banking Alliance and has set up its own Low Carbon Transition Group to support its clients through their energy transitions.

https://careers.apac.bnpparibas/

More information 

BNP Paribas – Diversity & Inclusion Journey

BNP Paribas – The Bank Of Green Changes

Award Obtained

BNPP has won Top employer Europe award in a 10th consecutive year

What is this position about?

We are looking for a skilled Machine Learning Specialist to join our Data Science team at BNP Paribas Wealth Management Asia to play a critical role in building, deploying, and optimizing machine learning models. This is an exciting opportunity to play a pivotal role in establishing our Asia AI Center of Excellence (COE) under the leadership of the Chief Digital & Data Officer. You will be responsible for translating advanced AI and machine learning research into production-ready systems, enhancing the bank’s ability to drive data-centric innovations, and integrating AI-driven solutions into the Wealth Management experience with the following key objectives:

•    Define, prioritize & execute our AI strategy & plan, Maximize AI’s value creation 

•    Identify key technologies & partners to design & implement the entity’s AI governance, 

•    Build its tech stack, workflows, processes & standards for development & industrialization

•    Leverage the Group AI ecosystem to optimize synergies & re-use of common, standardized tech stacks

•    Under a “One Bank” approach, develop collaborations with other Group entities (CIB, AM & Retail banks).

•    Promote a “analytics” & “AI everywhere, for everyone” mindset for all BNPP Wealth Management staff

As a Machine Learning Specialist, you will collaborate with colleagues, data scientists, software engineers, and business stakeholders to develop scalable and efficient machine learning pipelines and AI systems that power predictive models, recommendations, and other AI applications aimed at improving client outcomes and optimizing internal processes.

Primary Role Responsibilities

•    Model Deployment & Scaling:

Work closely with data scientists to take machine learning models from research and development to production. Design, implement, and maintain scalable, reliable, and high-performance machine learning pipelines to ensure models run efficiently at scale within the bank’s ecosystem.

•    AI Infrastructure & Tools:

Develop and optimize the infrastructure for machine learning applications, leveraging cloud technologies (AWS, Google Cloud, Azure) and distributed computing tools (e.g., Apache Spark, TensorFlow, PyTorch) to manage large datasets and support model training and deployment.

•    Hyperpersonalization Enablement:

Support the development of hyperpersonalized banking services by integrating advanced personalization models, including recommendation systems, client segmentation algorithms, and predictive analytics tools that tailor financial products and services to individual client needs.

•    Continuous Model Monitoring & Optimization:

Implement continuous monitoring of AI models in production, ensuring they are functioning as expected. Track model performance metrics, identify areas for improvement, and optimize models to adapt to changing data and client behavior.

•    Automation of ML Processes:

Automate the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model training, evaluation, and deployment, ensuring high efficiency, reproducibility, and minimal downtime.

•    Collaboration Across Teams:

Work closely with colleagues to understand business requirements and translate them into technical solutions. Collaborate with software engineering teams in IT departments to ensure smooth integration of AI models into production environments, including client-facing applications, risk assessment tools, and backend systems.

•    Data Engineering Integration:

Collaborate with IT departments to ensure that the data infrastructure is well-suited for machine learning tasks. Assist in building and maintaining data pipelines to collect, process, and store the data needed for model training and serving.

•    Research & Innovation:

Stay up to date with the latest advancements in machine learning, AI, and data science. Explore new techniques and tools to improve model accuracy, scalability, and performance. Contribute to the development of innovative AI solutions that set the bank apart in the financial services industry.

•    AI Model Documentation & Reporting:

Maintain clear and comprehensive documentation for machine learning models, their deployment processes, and performance evaluations. Communicate technical details to non-technical stakeholders and provide insights to guide future improvements.

What is required for you to succeed?

•    Education:

Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, Data Science, or a related field. Advanced degrees are a plus.

•    Experience:

3 to 6+ years of experience in machine learning engineering, with hands-on experience in deploying machine learning models into production environments, preferably in the financial services or technology sector. 

Good knowledge to expertise in Generative AI specific skills: prompt engineering (incl. Chain of Thought), various RAG approaches, agentic AI, ability to understand & challenge data pipelines & architecture choices, anticipate key stakes in robustness and automated performance evaluation / prod monitoring. Good knowledge of agile methodologies, design thinking, Test&Learn & A/B testing approaches.

•    Technical Skills:

o    Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras. 

o    Strong programming skills in Python, Java, or C++.

o    Experience with cloud platforms (AWS, Azure, Google Cloud) and tools like Docker, Kubernetes/ K8s for model deployment and orchestration.

o    Familiarity with big data technologies (e.g., Apache Spark, Hadoop, TaskQueue, ETL) for distributed model training and data processing.

o    Solid experience in SQL and NoSQL databases (e.g., MongoDB, Cassandra, S3-type storage) and working with large datasets.

o    Proficiency in data preprocessing, feature engineering, and model evaluation techniques.

•    Machine Learning Operations (MLOps):

Hands-on experience with MLOps practices & tools (Prometheus, Grafana, Giskard) for managing the lifecycle of machine learning models, including versioning, continuous integration/continuous deployment (CI/CD) for models, and automated testing of machine learning systems.

•    Domain Knowledge:

Understanding of Wealth Management and financial services, with experience in areas such as risk management, fraud detection, wealth management, and client analytics is beneficial.

•    Problem-Solving & Innovation:

Ability to think critically and creatively to solve complex problems and build innovative machine learning solutions that drive business value.

•    Collaboration & Communication:

Strong teamwork skills and the ability to collaborate effectively with cross-functional teams. Excellent communication skills to explain technical concepts and outcomes to non-technical stakeholders.

Preferred Skills:

•    Experience in deploying and maintaining recommender systems, NLP models, or deep learning models.

•    Familiarity with graph databases and graph-based machine learning techniques for fraud detection or social network analysis.

•    Expertise in AI-powered automation, building & industrialization of AI-driven solutions in client-facing applications.

•    Knowledge of AI model interpretability and explainability frameworks (e.g., SHAP, LIME).

•    Experience with streaming data and real-time machine learning applications.

About BNP PARIBAS

As the leading European Union bank, and one of the world’s largest financial institutions with an uninterrupted presence in the region since 1860, BNP Paribas offers a wide range of financial services for corporate, institutional and private investors spanning corporate and institutional banking, wealth management, asset management and insurance. 

We passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued and encourage applicants of all backgrounds, including diversity of origin, age, gender, sexual orientation, gender identity, religion applicants who may be living with a disability. We have a number of internal employee networks in place to empower our staff to act and challenge the status quo.

•    BNP Paribas PRIDE is highly active in favour of the LGBTQIA+ community

•    BNP Paribas MixCity which fosters better representation of women at all levels of the organization

•    Ability, the mutual aid network for employees with a disability or a disabling or chronic illness

•    BNP Paribas CulturAll which celebrates diverse backgrounds

BNP is committed to financing a carbon-neutral economy by 2050. The Group is a founding member of the Net-Zero Banking Alliance and has set up its own Low Carbon Transition Group to support its clients through their energy transitions.

https://careers.apac.bnpparibas/

More information 

BNP Paribas – Diversity & Inclusion Journey

BNP Paribas – The Bank Of Green Changes

Award Obtained

BNPP has won Top employer Europe award in a 10th consecutive year

What is this position about?

APAC Transformation’ mandate is two-fold :

•    Support strategic transformation initiatives or large, complex strategic programs

•    Business improvement projects to improve efficiency of processes & organizations 

APAC Transformation projects are undertaken with a wide range of client franchise encompassing the full APAC region: CIB and IFS businesses, Coverages, Functions and Countries.

What would be your typical day at BNPP Paribas look like? 

Direct Responsibilities

?    Manage large, complex transformation programs specific to APAC or in connection with global initiatives or specific metiers/functions

?    Manage from 1 to 2 Transformation Associates according to project needs

?    Secure end-to-end implementation of strategic transformation initiatives

?    Drive business / process / organizational improvement projects through consulting mindset, ensuring solid framing of projects and impactful & quality delivery

?    Derive viable solutions through deep-dive analysis, problem solving, process/organization re-engineering, target operating model design etc.

?    Present findings, pain points, recommendations and project status to Senior Sponsors and projects’ stakeholders

?    Enrich the client satisfaction by managing client and stakeholder relationships and showing agility to adjust to changing dynamics / needs of an engagement

?    Act as coach for Transformation Associates & Senior Transformation Associates and be a member of appraisal committee, contributing to performance appraisal and personal development plan

?    Actively contribute to team development through continuous feedback to improve the team, sharing best practices and actively engage in transversalities of the team

What is required for you to succeed?

?    Minimum 12 years of total experience, of which minimum 7 years of relevant experience in Business Project Management, Transformation Programs and Process & Organization Consulting 

?    Minimum 5 years of working experience in banking and financial industries

?    Experience in leading transversal transformation programs and/or business improvement projects involving senior management stakeholders

?    Experience in leading the design and implementation of Target Operating Model (business improvement / process efficiency / organizational efficiency / offshoring / regulatory) projects

?    Candidates with knowledge of Corporate Banking / Capital Markets / Global Markets / Securities Services products and processes

?    Strong planning, organization and stakeholder management skills

?    Ability to navigate the project & organizational complexities with courage, transparency and resilience

?    Ability to go into operational details, yet create a synthetic view for senior management  

?    Good communication, problem solving and analytical skills

?    Focus on business impact and client satisfaction at all times through solid delivery of projects

?    Travel in APAC countries may be required

About BNP PARIBAS

As the leading European Union bank, and one of the world’s largest financial institutions with an uninterrupted presence in the region since 1860, BNP Paribas offers a wide range of financial services for corporate, institutional and private investors spanning corporate and institutional banking, wealth management, asset management and insurance. 

We passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued and encourage applicants of all backgrounds, including diversity of origin, age, gender, sexual orientation, gender identity, religion applicants who may be living with a disability. We have a number of internal employee networks in place to empower our staff to act and challenge the status quo.

•    BNP Paribas PRIDE is highly active in favour of the LGBTQIA+ community

•    BNP Paribas MixCity which fosters better representation of women at all levels of the organization

•    Ability, the mutual aid network for employees with a disability or a disabling or chronic illness

•    BNP Paribas CulturAll which celebrates diverse backgrounds

BNP is committed to financing a carbon-neutral economy by 2050. The Group is a founding member of the Net-Zero Banking Alliance and has set up its own Low Carbon Transition Group to support its clients through their energy transitions.

https://careers.apac.bnpparibas/

More information 

BNP Paribas – Diversity & Inclusion Journey

BNP Paribas – The Bank Of Green Changes

Award Obtained

BNPP has won Top employer Europe award in a 10th consecutive year

Business Overview:

ALM Treasury is a Transversal Activity within BNP Paribas Group. ALM Treasury has three operational responsibilities and two prudential mandates. The three operational responsibilities are the management of the Group’s liquidity position, the management of the interest rate risk in the banking book (IRRBB) and the management of the foreign exchange risks. The prudential mandates refer to the liquidity risks linked to the Group’s profile and geographical presence, for which ALM Treasury exercises a responsibility similar to a Group function. ALM Treasury’s mandates consist in assessing the liquidity risks of the Group and protecting the Group’s signature.

ALM Treasury APAC overviews 12 Territories  (Hong-Kong, Japan, Australia, Singapore, Taiwan, South Korea, China, Thailand, Vietnam, Malaysia, Indonesia, India)

Hiring Department : ALM Treasury APAC – Prudential Liquidity Management (ALMT APAC PLM)

Hiring Manager : Christian de Hosté

Candidate Success Factors:

• Results and Impact
  • Able to influence peers and team
  • Demonstrates good judgement when making decisions
  • Exercise appropriate autonomy in the execution and delivery of work
  • Responsible for driving outcomes
• Leadership and Collaboration:
  • Able to build relationships with a mix of colleagues and various bank’s departments
  • Acts in leadership capacity for projects, processes, or programs
• Compliance Culture and Conduct: 
  • Takes full responsibility for personal actions and demonstrates courage in facing problems and conflicts
  • Perceived as a person of high moral character; upholds corporate values and displays high ethical standards

Responsibilities: 

• Design, propose and maintain tactical solutions for the production of various ALM Treasury risk metrics for all APAC entities – as per Group guidelines and local regulation/policies
• Fully document all the processes and tools used by the team
• Further analyze the various metrics and share the conclusions with local ALMT and local ALCO.  
• In collaboration with various stakeholders (RISK, Finance, …), contribute to various projects and impact studies on local regulatory reporting
• In collaboration with Local ALMT in each APAC entity, contribute to answer requests from local supervisors pertaining to ALM Treasury risks
• Ensure compliance with both ALM Treasury policies, guidelines and standards and local regulatory requirements
• Support ALM Treasury Head Office in its initiatives related to liquidity and IRRBB/FXRBB regulations or supervision

  

Qualifications:

Previous experience within ALM Treasury would be a plus

What is this position about?

Middle Office forms part of the Asset & Fund Services division of BNP Paribas Securities Services, supporting a variety of assets classes including Equities, Fixed Income, Foreign Exchange, Cash, Listed Derivatives, OTC and Reconciliations. Additionally the team provides support to our client’s start of day positions, matching and monitoring of settlements, cashflows and reporting. 

The roles within the Sydney Middle Office team are organised in alignment with the Global Middle Office processes of Asset Servicing, Transaction Management, OTC, Account Management and Business Transformation.  

The Sydney Middle Office team’s primary purpose is to ensure our clients receive high quality Middle Office services.  This includes the execution of daily production to meet SLAs and KPIs, management of queries, resolution of issues, deliver on client change and continual development of our operating model.  

The Sydney Middle Office team is also responsible for oversight of outsourced functions, including their daily operations and overall performance.   

We value teamwork, maintaining good working relationships internally and with our clients, ownership of our risk and control environment. 

Primary Role Responsibilities

Transaction Management 

Supports the key Middle Office processes of Trade Processing (Equities, Fixed Income, Matching and Settlements, Repos, Secured Loans), Collateral Management, FX and Money Markets, Cash Processing, Trade Support (STP, Alert, Claims), Exchange Traded Derivatives and Transitions.

Corporate Action  

Supports the key Middle Office processes of CA, general knowledge on all voluntary and mandatory events. 

OTC Derivatives

Supports the key OTC functions of Trade & Life-Cycle Event Processing, Cashflow Management, Third Party Custodian Trade Instruction, Valuations, Regulation Reporting and Reconciliations (Third Party Positions, Port Rec and Cash Recs).   

Operational Execution

• Trade Matching Support, including dispute resolution 
• OTC Cash Management (Diarize, Cash Settlement, Cash Pooling Service (CPS) and related reconciliation break clearance)
• OTC Trade Notification to external Custodians
• Complete key client reconciliations 
• Manage New account setups for middle office clients trading and master custody derivative trading
• Support and implement client change, new services and operational efficiency initiatives as required.
• Generate ideas for process improvement to systems and processes.

Client Service 

• Manage clients and related external third parties queries ( Custodians, Counterparties) queries for Transaction Management processes in timely and professional manner via Hobart email, phone or service review meetings or Operations to Operations calls. 
• Building strong collaborative relationships with internal partners, clients, brokers and other external third parties.
• All client related issues are maintained in client action logs and taking ownership for completing by due dates.
• Escalate client issues appropriately for resolution
• Client incident reports are delivered by BD10
• Deliver client reporting (for example STP and KPI reporting) as required 

Oversight of Outsourced Functions

• Participate or lead daily check in calls on escalations and current issues
• Review operating incidents with managers and track to closure. 
• Review aged and high value reconciliation breaks to ensure adequate actions and commentary
• Participate or periodic service review meetings, covering KPIs, issue logs, change pipeline, resourcing, attrition, MIS. 
• Periodic reviews of SLAs, procedures and BCP plans 

Risk Management

• Adhering to the risk and control framework, including the maintenance and update of internal procedures.
• BIRDIES (operating incident register) are managed within required timeframes
• Audits and Control Self Assessments (CSA) are completed successfully (ISAE3042 and internal)
• Manage incident process effectively and within reasonable timeframes.
• Back-up and contingency plans maintained and understood in the event of system outages.

  

Other contributions

What is required for you to succeed?

• Teamwork – Listen and responds constructively to other team members’ ideas. Builds strong partnerships across the firm and externally to help achieve results for the firm and client alike.
• Creativity and Innovation – takes a different perspective to a problem and goes beyond the existing frameworks suggesting new ideas which are suitable for their clients;
• Client Focus – Demonstrates an understanding of excellent client service and understands the issues facing their client;
• Accountability – committed to achieving the organisation’s objectives. Demonstrates perseverance and is accountable for own actions.
• Attention to detail – ensures accuracy and implements processes to ensure quality of output. Ensures high personal standards in all areas of work.
• Communication – Oral: expressing ideas effectively in individual and group situations. Adjusting communication style to match the needs of the audience. Written: expressing ideas clearly in all written documents. Using professional, appropriate language at all times, and adhering to the use of the BNPP Email Protocols.
• Team orientation – works with the team and the broader organisation towards shared goals and treats all colleagues and clients as partners
• Planning & execution – establishes courses of action for self and others to ensure work is completed efficiently. Effectively manages own time and resources to meet deadlines and quality standards

Desired knowledge, skill, experience

Qualifications –

• Degree education – preferable commerce and finance.

Technical skills – 

• 7+ years experience in Securities Services
• Knowledge of the fixed income, equities, foreign exchange and cash & FX markets and corporate actions and derivatives
• Solid understanding of outsource Middle Office services 

Systems knowledge – 

• TradeFlow 
• Hi-Portfolio
• Calypso
• IntelliMatch 
• MS Word and Excel (intermediary/expert)
• Tradeflow

About BNP PARIBAS

BNP Paribas is a top-tier European and international banking establishment, with an uninterrupted presence in the APAC region since 1860 and in Australia since 1881. Combining global expertise and local know-how, BNP Paribas in Australia and New Zealand delivers solutions to our clients through Corporate and Institutional Banking and Asset Management – a bridge between corporate and institutional clients.

We passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued and encourage applicants of all backgrounds, including diversity of origin, age, gender, sexual orientation, gender identity, religion applicants who may be living with a disability. We have a number of internal employee networks in place to empower our staff to act and challenge the status quo.

• BNP Paribas PRIDE is highly active in favour of the LGBTQIA+ community
• BNP Paribas MixCity which fosters better representation of women at all levels of the organization
• Ability, the mutual aid network for employees with a disability or a disabling or chronic illness
• BNP Paribas CulturAll which celebrates diverse backgrounds

BNP is committed to financing a carbon-neutral economy by 2050. The Group is a founding member of the Net-Zero Banking Alliance and has set up its own Low Carbon Transition Group to support its clients through their energy transitions.

If you require any reasonable adjustments during the recruitment process, please feel free to reach out to us at bnpp.hrss.recruitment.operations@asia.bnpparibas.com or +61 2 9216 8633 (and ask for the Talent Acquisition Manager in the HR Team).

https://careers.apac.bnpparibas/

More information 

BNP Paribas – Diversity & Inclusion Journey 

BNP Paribas – The Bank Of Green Changes 

Award Obtained

BNPP has won Top employer Europe award in a 10th consecutive year

Position Purpose

The objective of the Client Risk Management Officer is to ensure a robust client risk management which ought to be a

By-design, End-to-end and at scale risk management (defined as the target model).

Hence, the Client Risk management Office Team is responsible for engaging the actions to implement, run and makes the necessary evolutions over time to this target model in line / close collaboration with the global Client Risk Management team.

Its coverage is regional, ie. all locations and all activities in APAC, incl. MFS, DEC. He/she will be located in Singapore.

What would be your typical day at BNPP Paribas look like? 

The Client Risk Management Officer will have to:

• Implement the client risk strategy and risk appetite in line with the go-to-market of each client segment
• Improve / implement and coordinate the related business or risk methodologies and processes (ow selectivity /selectiveness processes, end to end offboarding, etc.), including exploring and implementing automation and AI projects
• Define and monitor the control over the client risk profile
• Define and implement enhancement / oversight over the quality of the KYC client information provided by Client Development and KYC execution by ITO teams
• Define and implement the oversight over AML alerts and AML projects
• Be the point of contact for incidents management (as far as client risk management is needed)
• Contribute to IG or regulatory missions
• Ensure the dissemination of the risk culture amongst the business (as far as client risk mgt is concerned)
• Measure & monitor the performance of the framework (KPIs)
• Share best practices with CRMO community so as to contribute to the improvement of the overall client risk management framework
• Oversight full adhesion of the business to:
• Compliance, Financial Security & Risks policies
• Regulatory obligations
• Code of Conduct, including close follow-up on potential Conduct issues
• Standard 2S processes & procedures

What is required for you to succeed?

• At least 10 years’ experience in a Risk Management role
• Previous experience in Financial Security management
• Able to coordinate and animate a community

About BNP PARIBAS

As the leading European Union bank, and one of the world’s largest financial institutions with an uninterrupted presence in the region since 1860, BNP Paribas offers a wide range of financial services for corporate, institutional and private investors spanning corporate and institutional banking, wealth management, asset management and insurance.

We passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued and encourage applicants of all backgrounds, including diversity of origin, age, gender, sexual orientation, gender identity, religion applicants who may be living with a disability. We have a number of internal employee networks in place to empower our staff to act and challenge the status quo.

•            BNP Paribas PRIDE is highly active in favour of the LGBTQIA+ community

•            BNP Paribas MixCity which fosters better representation of women at all levels of the organization

•            Ability, the mutual aid network for employees with a disability or a disabling or chronic illness

•            BNP Paribas CulturAll which celebrates diverse backgrounds

BNP is committed to financing a carbon-neutral economy by 2050. The Group is a founding member of the Net-Zero Banking Alliance and has set up its own Low Carbon Transition Group to support its clients through their energy transitions.

https://careers.apac.bnpparibas/

More information 

BNP Paribas – Diversity & Inclusion Journey

BNP Paribas – The Bank Of Green Changes

Award Obtained

BNPP has won Top employer Europe award in a 10th consecutive year