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Quant Equity Research/Risk
1 month ago
Our client is an active investment management firm who have an exciting opportunity for a Quant Equity Analyst with strong python skills and systematic equities experience who is interested in Risk.
An opportunity to work within a collaborative environment within quant research and also be involved in developing of new risk analytics and managing / developing new investment strategies.
Full details and preferred skills are listed below however the client will also consider a candidate without any of the direct experience mentioned but who has a very strong general quantitative background with at least some knowledge/experience of the quant equity concepts they work with (factor modelling, statistical analysis of systematic L/S equity strategies etc.)
- This is a permanent role based in London. A dynamic and friendly team offering a good work life balance. 3 days in the office and 2 WFH.
- Salary £130k with competitive bonus and benefits.
Key Responsibilities:
- Monitor and manage risk and work with all areas within the business to resolve risk issues as they arise
- Assist in building out the broader risk framework and analytical infrastructure – including internal risk models and code
- Conduct research into new risk measurement and management techniques
- Further develop the risk management framework and broaden awareness and good risk culture across all functions
- Reporting relevant risk data and information to key stakeholders – both internal and external
- Training and support for all members of the wider risk team and to other areas within the firm
Key Skills & Experience:
- A minimum of 5 years’ experience in risk management or quantitative research, with 2 years focusing on systematic equities. With preference to equity market neutral, high-frequency or short-term trading strategies
- In-depth knowledge of financial markets across major asset classes
- Advanced understanding of portfolio risk modelling and risk management techniques
- Strong financial and analytical skills
- Advanced Python or similar programming skills
- Excellent communication skills
- Very strong academics including masters degree or equivalent in a highly mathematical subject
Apply today for a confidential chat.
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