At a Glance
- Tasks: Join our team to conduct investment research and analysis, enhancing processes with AI tools.
- Company: Leading UK wealth management firm focused on sustainability and client service.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in responsible investing while developing your analytical skills.
- Qualifications: Degree in a quantitative field and strong interest in financial markets required.
- Other info: Collaborative environment with flexible working options and career advancement opportunities.
The predicted salary is between 40000 - 50000 £ per year.
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 see an opportunity to lead the way within our sector in relation to sustainability and responsible investing. We have set a target for our direct footprint to be Net Zero by 2030 and continue to enhance our approach to responsible investment, which includes offering a dedicated service for clients with values-based objectives.
We offer fulfilling careers in an inclusive culture that values diversity, ambition and rewards high performance. Our guiding principles underpin our culture and are at the heart of everything we do:
- we do the right thing
- 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. We’re committed to promoting equal employment opportunities and positively encourage applications regardless of race, religion or belief, sexuality, age, disability, gender, gender identity, marital status or pregnancy and maternity.
Collaboration and knowledge-sharing is important to us as a firm, and we value different ways of working. Employees are required to be in the office three days a week, with flexibility to work from home on the other two days.
The Investment Research Analyst will be a core member of the central Investment Research team, contributing across asset selection, asset allocation, performance analysis and investment research projects. The successful candidate will contribute across multiple research areas, with scope to develop subject matter expertise and lead coverage of a specific asset class or sector over time.
A strong preference for candidates with an interest in quantitative research to support manager selection, asset allocation and performance analysis. The role will also play an active part in enhancing research processes through data, coding and the practical integration of AI tools into day to day workflows.
Role Responsibilities
- Asset Research
- Act as a key contributor to manager research, supporting coverage responsibilities and mentoring junior and mid-level analysts and setting the standards for research quality and depth.
- Lead and contribute to meetings with fund managers across various asset classes.
- Undertake rigorous due diligence on funds and strategies.
- Provide constructive challenge and independent insight through peer group analysis, quantitative assessment and comparative research.
- Maintain, enhance and keep up to date internal research databases, DDQs and supporting documentation on a timely and ongoing basis.
- Asset Allocation
- Provide analytical input into asset allocation research, including risk/return analysis, scenario analysis and market monitoring.
- Support the preparation of materials and analysis for regular Asset Allocation meetings, ensuring outputs are clear and decision focused.
- Synthesise external research and market data into concise, decision ready insight for internal stakeholders.
- Performance & Risk Analysis
- Assist with performance analysis across portfolios, strategies and models, including peer relative and risk adjusted assessment.
- Contribute to the production of performance and attribution reporting for the Investment Committee and Asset Allocation forums, enhancing the quality and insight of analysis presented.
- Support the maintenance and oversight of inputs into the risk management system, including monthly review of risk models, monitoring the appropriateness of risk mandates, and providing analysis and guidance to the Investment Committee on any actions required.
- Seek to enhance performance and risk analysis through coding and AI enabled efficiencies.
- Quantitative, Data & Systems Development
- Apply strong numerical and analytical skills to improve the robustness and efficiency of research outputs.
- Automate and enhance analysis, manage datasets and develop repeatable research tools.
- Actively explore and support the integration of AI and advanced analytics into research and performance workflows, in line with governance and compliance requirements.
- Work closely with investment teams, distribution, risk and compliance to ensure research outputs are accurate, timely and well communicated.
- Present analysis clearly in written and verbal form to a range of internal audiences.
- Support ad hoc research projects and committee requests as required.
- Perform role always ensuring adherence to the expected behaviours stated in the FCA Conduct Rules.
Knowledge, Skills and Experience
- Technical & Analytical Skills
- Strong quantitative and analytical capability, with confidence handling large datasets.
- Experience or strong interest in passive investing, index methodologies and systematic strategies preferred.
- Coding capability (e.g. Python, VBA, R or similar) or an appetite to develop this further.
- Advanced Excel skills.
- Familiarity with investment research platforms and data providers (Morningstar, Bloomberg, FactSet, DataStream) desirable.
- Personal Attributes
- Highly analytical, intellectually curious and detail oriented with a genuine passion for financial markets.
- Proactive mindset with the initiative to identify improvements and new ways of working.
- Strong communication skills, able to translate complex analysis into clear insight.
- Collaborative team player with the confidence to contribute views and challenge constructively.
- Qualifications & Experience
- Degree educated, preferably in a STEM, quantitative or numerate discipline (e.g. mathematics, engineering, physics, computer science, economics or similar).
- CFA charter holder or significant progress toward completion is preferred.
- Typically, 2–5 years’ experience in an investment research, asset management or related analytical role.
- Exposure to multi asset investing, portfolio analysis or fund research preferred.
Research Analyst employer: Brooks Macdonald
Contact Detail:
Brooks Macdonald Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Brooks Macdonald Group plc on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your quantitative skills and investment knowledge. Be ready to discuss how you can contribute to their sustainability goals and enhance research processes with AI tools.
✨Tip Number 3
Showcase your analytical prowess! Bring examples of past projects where you've used data analysis or coding to solve problems. This will demonstrate your fit for the role and your proactive mindset.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Research Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Analyst role. Highlight your quantitative skills, coding experience, and any relevant investment research you've done. We want to see how your background aligns with our focus on asset selection and performance analysis.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about financial markets and how you can contribute to our commitment to sustainability and responsible investing. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t shy away from showcasing your analytical prowess. Whether it's through examples of past projects or specific tools you've used, let us know how you approach data and analysis. We’re keen on candidates who can bring innovative solutions to the table.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive – a quality we value highly!
How to prepare for a job interview at Brooks Macdonald
✨Know Your Numbers
As a Research Analyst, you'll need to demonstrate strong quantitative skills. Brush up on your numerical analysis and be ready to discuss how you've handled large datasets in the past. Prepare examples that showcase your analytical capabilities, especially in relation to asset allocation and performance analysis.
✨Showcase Your Coding Skills
Coding is a big part of this role, so if you have experience with Python, VBA, or R, make sure to highlight it. If you're still learning, express your enthusiasm for developing these skills further. Be prepared to discuss any projects where you've used coding to enhance research processes or automate tasks.
✨Understand the Market Landscape
Familiarise yourself with current trends in investment management, particularly around sustainability and responsible investing. Be ready to discuss how these trends impact asset selection and allocation. Showing that you’re informed about the industry will impress your interviewers and demonstrate your genuine interest in the role.
✨Communicate Clearly
Strong communication skills are essential for translating complex analysis into clear insights. Practice explaining your past research projects in simple terms, focusing on the outcomes and decisions made based on your findings. This will help you stand out as a collaborative team player who can effectively share knowledge with others.