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 for Investor Services Data Client Platforms.
Requirements
- 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).
- Experience with end-to-end data pipelines in production environments is essential.
- Knowledge of advanced techniques like natural language processing (NLP) for contract analysis or time-series forecasting for market trends.
- Experience with investments and financial datasets and familiarity with regulatory frameworks in multiple jurisdictions.
Responsibilities
- 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.
- Design, prototype, and productionize data science solutions, addressing real-world problems across Investor Services.
- Conduct research to identify opportunities for automation and optimization in custody and fund services.
- 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.
- Adapt solutions to diverse regulatory, data privacy environments and cultural contexts, supporting multi-jurisdictional client needs.
- Collaborate on reference data management, workflow enhancements, and issue escalation to maintain high standards of data accuracy and integrity.
Other
- 3-5+ years in data science or quantitative research roles, preferably within financial services, asset management, or custody/fund administration.
- Understanding of custody and fund services processes, including securities settlement, fund valuation, risk management, and compliance.
- 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.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Finance, or a related quantitative field.
