At a Glance
- Tasks: Develop and maintain a cutting-edge asset simulation platform using Python and C++.
- Company: Global asset manager based in London, focused on innovation and excellence.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Other info: Collaborative environment with a focus on automation and scalability in research processes.
- Why this job: Join a dynamic team to shape the future of asset management with your analytical skills.
- Qualifications: Master’s degree in relevant fields and 3-5 years of quantitative experience required.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Develop, maintain and calibrate a proprietary asset simulation platform
- Model capital market assumptions and produce asset class simulations
- Design and implement macro-financial models in Python and/or C++
- Adapt internal models to specific optimisation and simulation requirements
- Build ad‑hoc analytical tools in Python and Excel to deliver customised solutions
- Support Strategic Asset Allocation, ALM and lifecycle investing (including decumulation)
- Contribute to forecasts and portfolio construction best practice across geographies and asset classes
- Provide technical support to sales/clients and present methods and results clearly
- Write clean, tested code; use Git and deploy into production environments
- Drive automation and scalability across quantitative research processes
Requirements
- Master’s degree in Mathematics, Statistics, Computer Science, Economics or Financial Engineering
- 3–5 years’ experience as a quantitative analyst/programmer in an asset manager or investment bank
- Strong foundation in probability theory, stochastic calculus and statistical inference
- Experience modelling liquid and illiquid asset classes, asset allocation and portfolio optimisation
- Hands‑on 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); experience deploying code to production
- C++ a strong advantage; SQL proficiency; MS Office with VBA a plus
Quantitative Analyst/Quantitative Programmer, Global Asset Manager, London employer: Non-disclosed
Join a dynamic and innovative fintech company that prioritises remote work and values employee growth. With a strong focus on collaboration and high engineering standards, this organisation offers a supportive work culture where your contributions directly enhance client experiences. As part of a profitable and expanding team, you'll have the opportunity to work on cutting-edge financial analytics while enjoying the flexibility of a remote-first environment.
We think you need these skills to ace Quantitative Analyst/Quantitative Programmer, Global Asset Manager, London
Asset Simulation
Capital Market Modelling
Macro-Financial Modelling
Python Programming
C++ Programming
Optimisation Techniques
Analytical Tools Development
