Description
If you're looking for a career that will help you stand out, join HSBC and fulfil your potential. We're seeking an experienced professional to join our team in the role of Associate, eRisk Quantitative Strategist.
The eRisk systematic trading quant team is formed by experienced quantitative researchers and technologists that own, build and operate the HSBC automated trading platform. The team is responsible for providing liquidity to our clients and generating revenue by managing the associated market making risk in the FX and Precious Metals markets.
Innovation is our focus, and we develop as a team high-quality models and algorithms by following a rigorous research approach and have at our disposal considerable computational resources, data sets and AI/ML tools.
Responsibilities:
- Define, develop, implement, maintain and monitor the performance of automated trading algorithms and strategies for the team.
- Deliver on agreed milestones within a fast-paced front office environment.
- Apply knowledge of programming languages for statistical analysis, database access and language used in production.
- Leverage deep understanding of market microstructure, business logic and scientific fundamentals of algorithmic trading, methods of statistical analysis across FX or STIR high-frequency and mid/low frequency products.
- Understand the client franchise of the eRisk business and promote the fair treatment of customers.
- Effectively communicate and engage with clients.
- Collaborate with technology teams in order to improve systems and technical solutions.
- Integrate with the quant team and the broader eRisk business.
- Build network across the GFX business and other asset classes within the markets franchise.
- Understand market, credit, operational, regulatory and reputational risk enough to be able to ask the right questions and make sound decisions.
- Act as first line of defence, per the operational risk framework.
Requirements:
- Education in Quantitative discipline, PhD would be beneficial.
- Proven knowledge of programming languages for statistical analysis (Python/R/Matlab), database access (q/sql) and language used in production (Java).
- Relevant experience in a major electronic trading business.
- Understanding of the relevant currencies, products and markets.
- Experience in writing and publishing academic papers.
- Excellent verbal and written communication skills.