Overview
Who We Are Looking For
You will join State Street's Data Intelligence unit as a Managing Director-level Data Scientist to lead development of data-driven products that enhance client outcomes using the firm's proprietary data assets. The team builds and expands offerings such as PriceStats, the world's leading source of high-frequency inflation analytics, and the Private Capital Indices, derived from State Street's private equity and private credit datasets. The role will drive new product innovation across private capital, trading, and economic data sourced internally and through partnerships.
Why this role is important to us
You will be joining the Institutional Services function that enables a holistic approach to each client relationship-for asset managers and asset owners, insurance companies, and official institutions globally. Our client-facing functions work together to bring the best solutions and services the firm offers across locations, products, and capabilities. Join us if you are up for making your mark on long-lasting client relationships.
Responsibilities
- Lead design, development, and deployment of advanced analytics and machine-learning solutions using State Street's proprietary data.
- Oversee methodological research and product development for private capital and economic data products.
- Collaborate with technology, research, and business teams to scale data product development and client-facing analytics.
- Communicate insights, model performance, and product direction to clients and senior stakeholders.
What We Value
These skills will help you succeed in this role:
- Expertise in Python, SQL, machine learning, AI, and modern data-science techniques.
- Extensive knowledge of quantitative financial methods and experience working with large, complex financial datasets.
- Master's degree in a relevant field (eg, Data Science, Computer Science, Economics, Finance, Statistics).
- Exceptional communication, technical/quantitative, and collaborative product development skills.
Education & Preferred Qualifications
- 5+ years of experience in data science, quantitative research, or a related role.
Are you the right candidate?
We believe in the power of diverse backgrounds and experiences. While each vacancy details what we are looking for, you don't need to fulfil all of them to apply. If you like change and innovation, seek the bigger picture, make data-driven decisions, and are a good team player, you could be a great fit.
About State Street
What we do. State Street is a leading custodian bank, asset manager and data analytics company. We provide investment servicing, data & analytics, investment research & trading, and investment management to institutional clients.
Work, Live and Grow. We offer a great work environment with competitive and comprehensive benefits. Details vary by location, but benefits include medical care, insurance and savings plans, flexible work programs, and educational support.
Inclusion, Diversity and Social Responsibility. We value diverse backgrounds and perspectives and foster an inclusive environment. We welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. State Street supports community engagement with volunteer days and matching gift programs.
State Street is an equal opportunity and affirmative action employer.
Salary Range
$170,000 - $267,500 Annual
The range applies to the primary location. If the candidate works outside the primary location, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, including a retirement savings plan (401K) with company match, insurance coverage, paid time off, and incentive compensation.
About State Street (Additional)
Across the globe, institutional investors rely on us to manage risk, respond to challenges, and drive performance. We are committed to an environment where every employee feels valued and empowered to reach their full potential. Equal Opportunity Employer statements and disclosures are included as part of the standard posting.
