## Qualifications
- The ideal people for these roles have eFX modelling experience and practical experience applying neural nets to time series modelling
- People who lack eFX experience, but have several years of real-world experience applying neural nets to time series in any industry, or as the focus of a research degree or post-doc, are strongly encouraged to apply
- Similarly people with solid quant trading experience (in FX, cash equities, or futures) and practical experience with machine learning techniques are also strongly encouraged
- Creative thinkers who are motivated by challenging (stochastic, non-stationary, non-linear, partially observed, very low SNR) problems
- A firm understanding of why just throwing data at say TensorFlow libraries doesn't work
- A healthy scepticism 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
## Benefits
- 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
- 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
## Responsibilities
- Create profitable and robust trading signals, strategies, and models to make a significant contribution to P&L targets and eFX growth
- Apply your experience with time series AI to try to solve some of our most challenging problems
- Tackle modelling and analysis challenges in Market Making, Alpha, and Benchmark execution
- Using public and proprietary data, identify new opportunities to generate P&L
- Develop research all the way from prototype to production
- Analyse the behaviours of production trading models on an on-going basis, looking for areas of improvement
- Share your expert AI insights and guidance with eFX colleagues
## Full Description
Who we are looking for
As part of Global Market's ambitious three-year eFX expansion strategy, we have several exciting new positions. This is one of two identical front office, trading floor roles with the eFX Quant Trading team. We're a friendly, collaborative, multi-disciplinary team, with diverse trading strategies across spot FX, NDFs, and swaps. The ideal people for these roles have eFX modelling experience and practical experience applying neural nets to time series modelling.
People who lack eFX experience, but have several years of real-world experience applying neural nets to time series in any industry, or as the focus of a research degree or post-doc, are strongly encouraged to apply. Similarly people with solid quant trading experience (in FX, cash equities, or futures) and practical experience with machine learning techniques are also strongly encouraged.
The roles are for the London office, but being based in the Boston office instead is a possibility.
These roles can be performed in a hybrid model, where you can balance work from home and office to match your needs and role requirements.
Why this role is important to us
The team you will be joining is a part of State Street Global Markets (SSGM). When owners and managers of institutional assets need research, trading, securities lending and innovative portfolio strategies, they turn to SSGM business unit. As our investment research and trading arm, SSGM'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 AI 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
- Apply your experience with time series AI to try to solve some of our most challenging problems
- Tackle modelling and analysis challenges in Market Making, Alpha, and Benchmark execution
- Using public and proprietary data, identify new opportunities to generate P&L
- Develop research all the way from prototype to production
- Analyse the behaviours of production trading models on an on-going basis, looking for areas of improvement
- Share your expert AI insights and guidance with eFX colleagues
What we value
These skills will help you succeed in this role:
- Creative thinkers who are motivated by challenging (stochastic, non-stationary, non-linear, partially observed, very low SNR) problems
- A firm understanding of why just throwing data at say TensorFlow libraries