Role Overview
We are seeking a Senior Desk Quant Analyst to join the investment team and work closely with Portfolio Managers (PMs) to develop quantitative tools, research investment ideas, and provide data-driven insights to support investment decisions.
The successful candidate will combine strong quantitative skills, programming ability and financial market knowledge to independently research market opportunities, build analytical frameworks, perform backtesting and translate investment hypotheses into actionable strategies.
This is a highly autonomous front-office role requiring strong ownership, curiosity and the ability to work directly with PMs across different investment strategies.
Key Responsibilities
- Partner closely with Portfolio Managers and investment teams to understand investment themes, market views and research requirements.
- Generate, evaluate and validate investment ideas through quantitative analysis, statistical modelling and historical backtesting.
- Develop quantitative frameworks to analyse market trends, identify investment signals and support portfolio decision-making.
- Build and maintain research tools, analytical models and data-driven applications to enhance investment processes and improve decision efficiency.
- Perform deep-dive analysis across macro markets, including FX, interest rates, equities, commodities and global economic indicators.
- Design and implement backtesting frameworks to evaluate investment strategies, including performance attribution, risk analysis and optimisation.
- Translate qualitative investment views into measurable quantitative models and provide actionable insights to PMs.
- Work independently to identify opportunities for improving investment research capabilities, data utilisation and quantitative workflows.
- Collaborate with technology teams where required to productionise research tools and scalable analytics platforms.
Key Requirements
- 6+ years of experience in quantitative research, investment analytics, systematic strategies or front-office quantitative roles.
- Strong experience working with Portfolio Managers, traders or investment teams in a hedge fund, asset manager or investment bank environment
- Strong programming skills in Python, with experience in data analysis, statistical modelling and quantitative research.
- Proven experience developing investment models, signals or research frameworks and conducting strategy back testing.
- Strong understanding of financial markets, particularly macro-driven investments, including FX, rates and global economic factors.
- Ability to independently take ownership of research projects from idea generation through implementation and analysis.
- Strong analytical mindset with the ability to interpret complex datasets and communicate insights clearly to investment professionals
- Excellent communication skills with the ability to engage effectively with senior investment stakeholders.
Preferred Background
Candidates with experience in the following areas are highly desirable:
- Macro quantitative research
- FX / rates quantitative strategy
- Systematic investment research
- Portfolio analytics and risk modelling
- Hedge fund or asset management environments
- Quantitative strategist roles within global markets divisions of investment banks
Ideal Candidate Profile
The ideal candidate is someone who technically strong enough to build models and tools, while commercially aware enough to understand investment objectives and work directly with PMs.
You should be comfortable taking an investment hypothesis, analysing the data, building a quantitative framework, testing the idea and presenting meaningful insights to support investment decisions.
