Who we are looking for
Our highly successful, multi-faceted eFX trading business is an integral part of State Street Markets offering. Capitalizing on significant growth in revenues, products and capabilities, State Street is investing further into the business to accelerate growth by deploying the latest cutting-edge technology, computational techniques, market insights and talent.
In particular, we seek individuals to enhance our alpha research and trading team, which complements our fully automated market making, benchmark, and client execution algo businesses. This established and successful team of dedicated alpha quants possess a mature research and back testing infrastructure as well access to rich public and proprietary information that can be readily utilized by the right candidate.
We are seeking an individual who can contribute to and extend our existing suite of alpha strategies. Ideal candidates will have a proven track record of developing and deploying systematic trading strategies that generate robust returns net of transaction costs in live trading environments.
We are open to strategies across a range of time horizons, including intraday, event-driven, and longer-horizon approaches. While our core capability today is in spot FX and NDF, we are open to expanding into additional instruments and asset classes in the future (such as FX Swap, cash equities, or futures) where there is a compelling alpha opportunity.
Given the maturity of our infrastructure and platform, we expect candidates to be able to bring research ideas into production within a relatively short time frame, and then build on that foundation to scale and diversify their contribution over time.
Our preferred candidate will have outstanding academics in a hard science, ideally up to PhD level. Substantial practical experience in machine learning and artificial intelligence techniques is also a bonus.
Why this role is important to us
The team you will be joining is a part of State Street Markets (SSM). When owners and managers of institutional assets need research, trading, securities lending and innovative portfolio strategies, they turn to SSM business unit. As our investment research and trading arm, SSM’s number one goal is to enhance and preserve our clients’ portfolio values by applying technology, optimizing trading, and linking asset classes and markets across the world.
Join us if making your mark in the capital markets industry from day one is a challenge you are up for.
What you will be responsible for
As an eFX Alpha Quant Trader you will:
Create profitable and robust trading signals, strategies, and models to make a significant contribution to P&L targets and eFX growth
Using public and proprietary data, identify new opportunities to generate P&L
Develop research all the way from prototype to production
Analyze the behaviors of production trading models on an on-going basis, looking for areas of improvement
What we value
These skills will help you succeed in this role:
Creative thinkers who are motivated by challenging problems (stochastic, non-stationary, non-linear, partially observed, very low SNR)
Ability to complement technical high-frequency analysis with market insights and experience
A healthy skepticism about the robustness and generalisability of in-sample results
A working habit of first investigating simpler, parsimonious models
Desire to work within a collaborative, team-driven environment
Education & Preferred Qualifications
Post-graduate degree in a quantitative discipline (engineering, statistics, mathematics, physics, or similar)
Experience of a fast prototyping language such as Python (preferably), or Matlab, R, etc..
Working knowledge of an industrial scale language such as Java or C++ 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 StreetAcross 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.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Skills Required
- Proven track record of developing and deploying systematic trading strategies that generate robust returns net of transaction costs in live trading environments
- Ability to bring research ideas from prototype to production quickly and scale contributions over time
- Use of public and proprietary data to identify and develop profitable trading signals and models
- Post-graduate degree in a quantitative discipline (engineering, statistics, mathematics, physics, or similar)
- Experience with fast prototyping languages such as Python, Matlab, or R (Python preferred)
- Working knowledge of industrial-scale languages such as Java or C++
- Substantial practical experience in machine learning and artificial intelligence techniques
- Creative problem solving for stochastic, non-stationary, low-SNR problems and ability to complement quantitative analysis with market insights
State Street Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about State Street and has not been reviewed or approved by State Street.
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Retirement Support — Retirement support is framed as a standout component, highlighted by a 401(k) match described as 100% on the first 6% of base salary. This is positioned as a meaningful offset to less competitive cash compensation for some roles.
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Leave & Time Off Breadth — Leave and time off are portrayed as relatively robust, with references to multi-week vacation, paid holidays, sick time, and additional days tied to wellness or volunteering. This breadth is repeatedly treated as a tangible part of total rewards beyond base pay.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are presented as extensive, including the BeWell program, fitness discounts, onsite or supported health resources, and financial counseling. These offerings are depicted as strengthening the overall benefits proposition even when pay satisfaction is tepid.
State Street Insights
What We Do
At State Street, we partner with institutional investors all over the world to provide comprehensive financial services, including investment management, investment research and trading, and investment servicing. Whether you are an asset manager, asset owner, alternative asset manager, insurance company, pension fund or official institution, you can rely on us to be focused on your challenges. We are committed to doing what it takes to help you perform better — now and in the future







