Junior Quantitative Analyst

Brooks Macdonald Group plc is one of the UK's leading wealth management firms, recognised for investment performance and client service. We offer leading multi-asset investment services to intermediaries, and high-quality financial planning advice to private clients, benefitting from a strong local presence across the UK.

We offer fulfilling careers in an inclusive culture that values diversity, ambition and rewards high performance.

Our values (we call them our guiding principles) underpin our culture and are at the heart of everything we do:

• we do the right thing

• we are connected

• we care

• we make a difference

We welcome talented people from all backgrounds who live our guiding principles and are focused on ensuring good outcomes for our clients.

Role Overview

Brooks Macdonald is looking for a numerically talented and technically minded Junior Quant Analyst to join its Investment team within Wealth Management. This is an excellent opportunity for a recent graduate with a degree in Mathematics, Financial Engineering, Statistics, Physics, Computer Science or a related quantitative discipline, who is keen to apply their analytical and programming skills to real-world investment challenges.

The role will sit at the intersection of quantitative research, financial markets and investment portfolio management. The successful candidate will work alongside experienced investment professionals, developing analytical tools, models and data-driven insights to support investment research, asset allocation and portfolio construction.

We are looking for someone with a strong coding and problem-solving mindset, a genuine curiosity about financial markets and a desire to build a career in investment management.

Role responsibilities

• Develop, maintain and improve quantitative models and analytical tools to support investment research and portfolio construction.
• Write and maintain code to automate investment processes, data analysis and reporting.
• Work with financial market and economic data, including sourcing, cleaning, processing and analysing large datasets.
• Support the development and implementation of asset allocation and portfolio optimisation models.
• Undertake quantitative research into asset class behaviour, market relationships, portfolio diversification and investment risk.
• Develop analytical tools to assess portfolio characteristics, performance, risk exposures and scenario outcomes.
• Explore and implement statistical techniques and quantitative methods to identify patterns and relationships in financial markets.
• Contribute to the improvement of existing analytical infrastructure, with an emphasis on efficiency, reproducibility and robust coding practices.
• Work closely with investment strategists and portfolio managers to translate investment questions into quantitative analysis and practical solutions.

Knowledge, Skills, & Experience

• A recent degree (undergraduate or postgraduate) in Mathematics, Financial Engineering, Statistics, Physics, Computer Science, Engineering or another highly quantitative discipline.
• Strong programming skills, ideally in Python and/or R.
• A good understanding of statistical methods, mathematical modelling and quantitative techniques.
• Strong analytical and problem-solving capabilities, with an ability to approach complex problems in a structured manner.
• An interest in financial markets, investment management and the wealth management industry.
• Familiarity with financial data, portfolio theory or investment concepts would be beneficial, but is not essential.
• Experience with data visualisation, databases, APIs or software development practices would be advantageous.

Personal attributes

• Technically minded, with a genuine enthusiasm for coding, programming and developing analytical solutions.
• Naturally curious, with a strong desire to learn and understand how financial markets and investment portfolios work.
• Proactive and self-motivated, with the ability to take ownership of tasks and see projects through to completion.
• Creative problem-solver who enjoys finding better and more efficient ways of doing things.
• Strong attention to detail and a commitment to producing accurate, reliable work.
• Good communication skills and the ability to explain analytical findings to colleagues with different technical backgrounds.
• A collaborative team player who is keen to learn from experienced investment professionals and develop a long-term career in asset and wealth management.