Quantitative Analyst / Quantitative Programmer, Global Asset Manager

Quantitative Analyst / Quantitative Programmer, Global Asset Manager

Full-Time No working from home possible
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Quantitative Analyst / Quantitative Programmer, Global Asset Manager

Location London

Compensation Competitive

Description

Our client is a global asset manager with a specialist institutional and retirement solutions focus. They seek a Quantitative Analyst to advance asset-simulation models underpinning Strategic Asset Allocation, ALM and lifecycle investing (including decumulation). The role blends research, model engineering and selective client-facing work.

Responsibilities

  • Build, calibrate and maintain a proprietary asset‑simulation platform.
  • Specify capital market assumptions and generate asset‑class simulations.
  • Design macro‑financial models in Python and/or C++.
  • Tailor internal models to varied optimisation and simulation use‑cases.
  • Create ad‑hoc tools in Python and Excel for bespoke analyses.
  • Support Strategic Asset Allocation, ALM and lifecycle investing (incl. decumulation).
  • Inform forecasting and portfolio construction across markets and asset classes.
  • Deliver technical support to sales/clients and present methods and results clearly.
  • Produce clean, tested code; use Git and deploy to production.
  • Automate and scale quantitative research workflows.

Requirements

  • Master’s in Mathematics, Statistics, Computer Science, Economics or Financial Engineering.
  • 3–5 years as a quantitative analyst/programmer in asset management or investment banking.
  • Strong grounding in probability theory, stochastic calculus and statistical inference.
  • Experience across liquid and illiquid assets, asset allocation and portfolio optimisation.
  • Practical exposure to bond pricing, stochastic volatility modelling and Monte Carlo simulations.
  • Proficient in time‑series analysis, econometrics and factor‑based modelling.
  • Advanced Python (numpy, pandas) with production deployment experience.
  • C++ highly valued; SQL proficiency; MS Office with VBA a plus.
  • Clear communicator able to explain complex ideas to non‑specialists.

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Quantitative Analyst / Quantitative Programmer, Global Asset Manager employer: Logansinclair

Logansinclair is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including professional development and networking at industry events, while being part of a team that values strategic partnerships and client engagement. With a commitment to quality and excellence, Logansinclair provides a rewarding environment for those looking to make a meaningful impact in their careers.

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Contact Details:

Logansinclair Recruitment Team