Quant Researcher/Strat - Entry/Assoc LevelLondon based
My client is looking for a quant to join the Strat team. In this group, they focus on pricing and risk management pension fund buyout trades, and associated asset strategies. In particular, they are looking for someone to work on a large project, implementing pricing, analysis and risk management systems for them.
You will work closely with the trading and structuring team, analyzing pension fund buyout trades and asset opportunities. They provide a comprehensive set of risk reports and pricing tools for the team, and are an integral part of the risk management of the firm. In general, they are looking for smart, quantitative, commercial, problem-solving-oriented, "get-things-done" candidates with a proven track record of delivering robust, high performance software and quantitative analyses and with either experience in financial markets or a keen interest to learn about them.
Strategists occupy the intersection of finance, markets, maths, computer science, and programming. Working side by side with the firm's trading, sales, banking and investment management professionals, members of the business unit use their mathematical and scientific training to create financial products, advise clients on transactions, measure risk and identify market opportunities.Experience and Skills
- Excellent quantitative skills (typically evidenced by a 1st class undergraduate degree in maths, physics, computer science, engineering, etc from a top tier university).
- Expertise programming in C++, Python or Slang. Knowledge and experience in Athena, Beacon or SecDB advantageous but not necessary.
- Deep understanding of Fixed Income products and derivatives.
- A broad understanding of model risk, bringing new approaches and processes.
- Strong communication skills.
- Judgment -- ability to work on the trading desk under significant time pressure & make trade-critical decisions.
- Commercial awareness.
- Enthusiasm, "can-do" attitude, and drive.
- Knowledge of financial mathematics and stochastic calculus.