Quantitative Research Analyst, Systematic Equity - State Street Global Advisors, AVP

Who we are looking for

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.

Why this role is important to us

The team you will be joining is a part of State Street Global Advisors, one of the biggest asset managers in the world, that provides services to the world’s governments, institutions and financial advisors across the globe. With over four decades of experience and trillions of dollars in assets under management, we offer one of the broadest selections of services across asset classes, risk profiles, regions and styles. As pioneers in index, ETF, and ESG investing, we are always inventing new ways to invest. Join us if making your mark in the asset management industry from day one is a challenge you are up for.

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.

"Are you the right candidate? Yes! 

We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit. 

About State Street Global Advisors 

What We Do. As the asset management arm of State Street Corporation, State Street Global Advisors has served the world’s governments, institutions and financial advisors for over four decades. With a rigorous, risk-aware approach built on research, analysis and market-tested experience, we build from a breadth of active and index strategies to create cost-effective solutions. As stewards, we help portfolio companies see that what is fair for people and sustainable for the planet can deliver long-term performance. And, as pioneers in index, ETF, and ESG investing, we are always inventing new ways to invest. As a result, we have become one of the world’s largest asset managers with trillions of dollars under our care. 

Our Mission. At State Street Global Advisors our mission is to invest responsibly to enable economic prosperity and social progress. We are driven by a desire to help our clients, and those who rely on them, achieve a better future. We have a long history of developing innovative investment strategies to provide our clients with reliable and transparent returns, cost-effectively, and without excessive risk. 

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to Flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. 

Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer. 

Company: State Street Global Advisors

Salary Range:

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.

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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