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Rates Quantitative Strategist

Selby Jennings
London
8 months ago
Applications closed

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Data Scientist Support | S2 | Data Centre of Excellence | Multiple Locations

Data Scientist Support | S2 | Data Centre of Excellence | Multiple Locations

Intro:

Our client a leading multi-strat hedgefunds are looking for a quantitative strategist in the build out of their rates group. The team lead has over 18 years' experience working for Tier 1 Investment Banks and three world renowned hedge funds.

They are looking to bring in a junior profile who has between 1-5 years' experience in the space, to work closely alongside the team lead, with a focus on developing brand new pricing models, pay offs and approaches around both linear and exotic rates products.

You will also be working alongside both systematic and discretionary trading teams to provide ad-hoc tools building, systematic strategy research and data analytics for the respective PM's within these teams.

Responsibilities:

  • Design and develop user-friendly tools (e.g., in Excel or Python) that serve as interfaces for internal analytics models.
  • Build, test, and maintain custom libraries for derivatives modeling, using C++ or Python.
  • Work with Bloomberg and other external data APIs to retrieve financial information.
  • Conduct empirical modeling of financial securities, leveraging data science and statistical learning techniques.
  • Provide quantitative modeling support to portfolio management teams, addressing any relevant issues.

Qualifications:

  • 1 to 5 years of experience in financial quantitative analysis, preferably in a front office or buy-side role.
  • Advanced degree (MSc or PhD) in a STEM field from a top-tier university.
  • Strong intellectual curiosity, with a focus on data science and AI.
  • In-depth knowledge of front office pricing and risk models across various asset classes.
  • Proven experience in developing financial derivatives models across different asset classes.
  • Expertise in data-driven and statistical modeling of financial instruments.
  • Experience working closely with front office traders, quantitative analysts, and risk managers.
  • Proficient in professional software development using C++, Python, and Excel.
  • Quick to grasp new concepts, models, and technologies.

If you have the relevant skills and are interested in applying, please feel free to send your CV

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