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Interest Rate Derivative Quant Analyst | Hedge Fund - London

London
money-bag £120,000-150,000 per annum
C6CDE2DC9305DC8471CBEA2B1710D817
Posted 4 days ago

Markets Quant Analyst - Interest Rates | Hedge Fund - London

Markets Quant Analyst - Interest Rates | Hedge Fund - London

Get AI-powered advice on this job and more exclusive features.We are working with a Macro Fixed Income Hedge Fund in London, looking to hire a Markets Quant Analyst focused on Interest Rate analytics. This is not a platform hedge fund, nor covered by several recruiters. They are a high performing group that enjoys a strong track record and low staff turnover. The fund takes a collaborative, research/analysis driven approach across the investment process making this a significant and highly prominent role for their growth and success. Their focus can be described as bottom-up macro, predominantly concentrated on interest rate markets as well as FX and Commodities.This is a front office quant role which will sit closely to the trading desk and senior stakeholders, supporting them with clear and insightful analysis of portfolios and positions. The focus here is less about building models from scratch and more about using existing analytics to generate meaningful reports and help the desk better understand PnL and risk. You’ll be working across interest rate derivative instruments – including bonds, swaps, and swaptions – and applying your knowledge of Greeks to interpret exposures and highlight key drivers.Responsibilities:Producing regular and ad-hoc reports on PnL and risk for senior stakeholders.Using strong Python (pandas, numpy, scipy) and SQL skills to handle data and deliver accurate analysis.Supporting the desk in understanding portfolio exposures (delta, vega, etc.) and providing trader-style insights.Working alongside pricing quants and traders to ensure market risks are clearly understood.What they’re looking for:Around 4 years’ experience in a quant, desk analyst, or market-facing role.Good knowledge of interest rate derivatives and related risk metrics.Strong programming background in Python (with pandas/numpy/scipy) and familiarity with SQL.Someone analytical, detail-oriented, and able to communicate insights to senior stakeholders.Strong academics, preferably with a background in Financial Mathematics.Due to demand, we are advertising this role anonymously. If you would prefer to speak to someone before submitting a CV, please send a blank application to the role and someone will be in touch to discuss.We can only respond to highly qualified candidates.Seniority level

Seniority level Not ApplicableEmployment type

Employment type Full-timeJob function

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