SVP, Product Manager, Data Science

We are seeking a highly skilled Data Scientist to join Investor Services Data Client Platforms product development organization. This role focuses on leveraging advanced data analytics, machine learning, and quantitative methods to optimize client-, product-, operations strategies, enhance risk management, and drive innovation in asset custody, fund administration, and investor services.  As a global position, you will collaborate with international teams across regions, leading business critical transformative data science projects by leveraging data-driven insights to drive innovation and business growth.

Role Summary

In this role, you will tackle complex business challenges within Investor Services ecosystem by analyzing large-scale proprietary datasets, developing predictive models, and implementing data-driven solutions. You will work end-to-end from prototyping to production deployment, transforming traditional business practices through data science. This position demands a blend of technical expertise, business domain knowledge, and strong communication skills to influence stakeholders at all levels.

Key Responsibilities

• Data Analysis and Modelling: Perform large-scale analysis on proprietary datasets related to securities custody, fund accounting, trade settlements, and client portfolios. Develop and deploy machine learning models for applications such as predictive analytics, operational efficiency, and client behaviour forecasting.
• End-to-End Solution Development: Design, prototype, and productionize data science solutions, addressing real-world problems across Investor Services.
• Quantitative Research: Conduct research to identify opportunities for automation and optimization in custody and fund services. Provide independent assessments and recommendations to enhance business processes.
• Collaboration and Stakeholder Engagement: Work closely with cross-functional teams including product, operations, risk controls, compliance, and technology to integrate data insights into daily workflows. Communicate findings effectively through reports, visualizations, and presentations to non-technical audiences. Translate complex data concepts into user friendly features, ensuring accessibility for non-technical users.
• Innovation and Problem-Solving: Explore emerging technologies like AI and big data analytics to solve unprecedented challenges in securities custody, fund services and execution services, ensuring scalability across international markets. Stay informed on industry trends to guide product innovation.
• Data Governance and Quality: Collaborate on reference data management, workflow enhancements, and issue escalation to maintain high standards of data accuracy and integrity.
• Global Perspective: Adapt solutions to diverse regulatory, data privacy environments and cultural contexts, supporting multi-jurisdictional client needs.

Required Qualifications

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Finance, or a related quantitative field.
• Experience:  3-5+ years in data science or quantitative research roles, preferably within financial services, asset management, or custody/fund administration. Experience with end-to-end data pipelines in production environments is essential.  
• Technical Skills:
  • Proficiency in Python, R, or other relevant languages,
  • Strong knowledge of SQL, big data tools and cloud platforms.
  • Expertise in statistical modelling, machine learning algorithms, and data visualization tools (e.g., QlikSense, Tableau).
• Domain Knowledge: Understanding of custody and fund services processes, including securities settlement, fund valuation, risk management, and compliance.
• Soft Skills: Excellent verbal and written communication skills; ability to explain complex concepts to diverse audiences. Proven track record of problem-solving in fast-paced, global environments.

Preferred Skills

• Experience with investments and financial datasets and familiarity with regulatory frameworks in multiple jurisdictions.
• Knowledge of advanced techniques like natural language processing (NLP) for contract analysis or time-series forecasting for market trends.
• Certifications such as CFA, FRM, or data science-specific credentials (e.g. Google Data Analytics).

What We Offer

• Opportunity to work on cutting-edge projects in a leading global financial services firm.
• Comprehensive benefits package including health insurance, retirement plans, and professional development opportunities.
• A collaborative, inclusive culture that values innovation and work-life balance.