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About the Role
We are seeking 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.
Responsibilities
- 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
Requirements
- 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
- 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
- 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.
Skills
- Machine learning
- Artificial intelligence
Education Level
- Post-graduate degree in a quantitative discipline (engineering, statistics, mathematics, physics, or similar)
- PhD level
Benefits
- Inclusive development opportunities
- Flexible work-life support
- Paid volunteer days
- Vibrant employee networks
About the Company
- 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.
Equal Opportunity
- 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.