The Quantitative Investment Researcher (Assistant Vice President) will be a member of the Portfolio Management Research team at State Street Associates, an investment research division of State Street Markets. This role will be responsible for advancing new research and product development in the form of thought leadership, analytical tools, and market indicators. The Portfolio Management Research team is part of State Street Associates (SSA), a unique partnership between State Street and thought leaders in academic finance. In collaboration with our academic partners, we produce original research that is frequently published in academic and practitioner journals. We have a track record of helping the world’s largest institutional investors and asset managers solve complex problems, manage investment risk, and enhance portfolio performance. SSA’s headquarters are located in Harvard Square in Cambridge, MA.

In collaboration with senior team members, the Quantitative Investment Researcher will have the opportunity to work with leading academics and apply quantitative financial skills in order to contribute to new research related to advanced prediction techniques and investment strategy. Specific responsibilities include:

• Supporting the team’s new research in areas such as advanced prediction (AI / machine learning / other non-linear techniques with a focus on transparency) and investment strategy (portfolio optimization, dynamic asset allocation, and risk management)
• Co-authoring white papers and journal articles in collaboration with colleagues
• Translating this academic research into products (publications, indicators, tools, etc.) and customized solutions for our clients
• Engaging with clients as a subject matter expert on our related research

Qualifications

We are looking for highly motivated candidates with exceptional quantitative skills and a desire to develop and implement new research ideas in a practical setting. Requirements include:

• Master’s degree in a quantitative field such as finance, economics, mathematics, computer science, or a related discipline.
• Minimum of 2 years of experience in a quantitative research role.
• Robust knowledge of financial markets, investment analysis, portfolio theory, and statistical analysis.
• Proficiency with Python, SQL, and MS products (Excel, PowerPoint)
• Strong verbal and written communication skills and the ability to self-direct within a fast-paced team environment are critical.

Salary Range:

$175,000 - $175,000 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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