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Quantitative Research Analyst, Systematic Equity, AVP - State Street Investment Management

Quantitative Research Analyst, Systematic Equity, AVP - State Street Investment Management

State StreetBoston, MA, United States
Hace 4 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

Quantitative Research Analyst, Systematic Equity, AVP - State Street Investment Management

Join to apply for the Quantitative Research Analyst, Systematic Equity, AVP - State Street Investment Management role at State Street .

This role is for a Quantitative Research Analyst in the Systematic Equity team. The role is based in Boston and reports to the Head of Data and Analytics of Systematic Equity.

Systematic Equity team manages a wide range of quantitative equity strategies over a broad active risk spectrum across global markets. The team has a deep history of delivering innovative risk‑controlled alpha to our clients and we are looking for someone who can help shape the next phase of our growth with extraordinary analytical skills and strong passion for data science. You will have an opportunity to combine your analytical skills and investment insights with innovative data and modeling techniques on a cutting‑edge distributed computing platform to solve investment problems.

What You Will Be Responsible For

  • Generate ideas for investment process innovation and improvements with key focus in alpha generation and portfolio construction.
  • Execute research projects including interpreting, presenting and implementing results.
  • Contribute to maintaining and improving our state‑of‑the‑art computing platform for research and production models.
  • Explore and evaluate alternative data sources and advanced machine learning techniques to solve investment problems better.

Education & Required Qualifications

  • Advanced degree (PhD / MS or equivalent) in finance, economics, or a quantitative discipline such as computer science, mathematics, statistics, physics or engineering.
  • Minimum 2 years of work experience in quantitative finance or data science. Candidates with a doctoral degree and no work experience may be considered.
  • Deep knowledge of quantitative equity investment is strongly preferred but not required.
  • Great analytical skills with solid knowledge in statistics.
  • Strong problem‑solving capabilities with attention to details.
  • Excellent coding skills with experience in Python, SQL and / or R. Experience with distributed computing is a plus.
  • Strong working knowledge of theoretical and practical concepts in machine learning including natural language processing.
  • Experience working with a large amount of structured / unstructured data is a plus.
  • Salary Range

    $90,000 - $142,500 Annual

    Benefits

    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.

    Equal Opportunity Employer

    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.

    Job ID : R-779785

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