As a Quant Strategist, your key responsibilities will include:
Key Deliverables
- Working on research related to pricing, hedging, research activity including market liquidity, microstructure analysis, client analysis, TCA for eFX desk.
- Backtesting existing models and strategies for improvements; come up with alternate mathematical solutions to problems under consideration.
- Participate in various analytical requests from global trading teams.
- Working with a global quant team to ensure model changes are in line with analytics library design and framework
- Deliver codes that meet functional requirements by developing functions against agreed specifications and timescales and adhering to stipulated development standards.
The Skills you'll need:
Essential Experience: (Must have)
In order to be successful in this role, you must have the following skills & experience:
- 6+ years Quant Analyst experience with Tier 1/2 Investment Banking or in Machine Learning space
- Strong mathematical background, with good knowledge in any two of the following disciplines - probability, quantitative finance, numerical methods, multivariate statistics, econometrics, optimization, time series analysis, Machine learning
- Excellent Problem solving and analysis skills.
- Strong programming and computer science skills.
- Strong Python programming
- Excellent Problem solving and analysis skills and Eagerness to learn
Supplementary Experience: (Good to have)
- Good understanding of investment banking in any asset classes (e.g. FX, Rates, Credit, Equities, and Commodities).
- Prior experience of the tick database (KDB) and its functional programming language (q)
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