Senior Vice President : Data Management and Quant Analysis

We are looking for an experienced quant to lead a small R&D group operating at the intersection of large proprietary, macro, and markets datasets; applied data science; and predictive analytics. If you are a top performer who is comfortable acting as a player/coach in the quantitative financial markets arena, come join a cross-functional group that powers BNY Institute BNY’s macro strategy insights platform. Help develop new metrics and downstream applications of our proprietary iFlow® product, in support of our Markets Strategy and our Investment & Wealth Management teams.

Data engineering responsibilities

• Extend core utilities for new-dataset reconnaissance, data cleansing & data model integration
• Orchestrate new dataset ETL processes
• Develop automated data quality control & remediation processes
• Maintain comprehensive data dictionaries including coverage, lineage, descriptive statistics & use cases
• Promote a culture of responsible data stewardship

Research & development activities

• Execute on the BNY Institute and iFlow R&D programs as directed
• Partner with iFlow R&D & Analytics teams to leverage data assets & legacy code, augmenting and/or refactoring as needed
• Collaborate with research staff in the BNY Institute to onboard new macro, market microstructure, behavioral & other alternative datasets
• Leverage the toolkit of modern data science to extract differentiated quantitative insights from vast quantities of data
• Quickly turn new datasets & novel concepts into working prototypes
• Lead the smart visualization of data for clients globally
• Enforce best practices with respect to research processes & coding standards
• Cultivate a high-performance culture

Skills

• Facility with core technologies: SQL, Python & its packages, Power BI and/or Tableau, Excel
• Facility with modeling and statistical analysis techniques
• The ability to learn and deploy new technologies & techniques quickly
• Knowledge of financial markets, instruments & the investment landscape
• Strong collaboration & teamwork abilities along with experience in the application of lateral influence
• Ability to clearly communicate complex concepts to a broad range of stakeholders, including senior management & client-facing teams, in a concise manner
• Experience training, managing, mentoring & inspiring junior staff