At a Glance
- Tasks: Analyse and transform large datasets to drive responsible investment insights.
- Company: Join a leading global investment firm focused on innovation and sustainability.
- Benefits: Flexible working, competitive salary, and opportunities for professional development.
- Other info: Inclusive culture with opportunities for community volunteering and career growth.
- Why this job: Make a real impact in sustainable finance while working with cutting-edge data technologies.
- Qualifications: 5+ years in data science, with a passion for responsible investment and sustainability.
The predicted salary is between 60000 - 80000 £ per year.
About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion and operate across multiple offices globally.
The Team
The Data and AI division at Man Group is dedicated to ensuring the business can generate valuable insights from data. The division owns the sourcing, delivery and analytics of traditional and alternative data to our investment teams, as well as developing and supporting Man Group's central data platform. The division is also responsible for the development of generative AI tooling to drive innovation and accelerate business processes. The function seeks to unlock the value in data by partnering with investment teams to source new and diversifying datasets and build scalable evaluation methods and insights. The core value which unifies us is a passion to utilise science, technology, and data to enhance our investment and business processes.
The Role
As a Data Scientist, you will be embedded within Man Group's Responsible Investment (RI) function — working day-to-day alongside the RI research, stewardship and investment teams to deliver data-driven insights. In this role you will acquire, wrangle, map and analyse large structured and unstructured RI and sustainability datasets, acting as a subject matter expert at the intersection of data science and responsible investment. Work spans the full data lifecycle and is delivered through self-managed projects in close collaboration with the RI team and the wider Data & AI division.
Role Responsibilities
- Partner with the RI team to identify data opportunities across RI scoring, climate risk, stewardship and sustainable investing — proposing creative use cases and recommending datasets to enhance RI research and investment processes.
- Acquire, transform and analyse large, inconsistent and unstructured RI and sustainability datasets from third-party vendors and alternative sources.
- Research company-level RI KPIs, perform statistical tests and draft research reports to maintain a searchable internal knowledge base for RI and investment teams.
- Support and enhance Man Group's proprietary RI tools and datasets, helping to scale and improve data quality, coverage and analytical capability.
- Build proof-of-concept data products and AI-driven tools for RI use cases, collaborating with technology to productionise them.
- Stay informed on industry trends in RI data, climate science, sustainable finance regulation and alternative data relevant to responsible investment.
- Advise clients on the availability of RI datasets and help build bespoke data solutions that meet their sustainability goals.
- Work alongside other data scientists on team-wide OKRs spanning from acquiring novel datasets to creating analytical tooling.
Key Competencies
Essential
- 5+ years of proven experience in data wrangling, statistical techniques and data visualisation.
- Previous experience working with RI data, sustainability datasets or climate analytics.
- Passionate about RI and sustainability with an entrepreneurial mindset — eager to develop deep domain expertise, understand investment strategies and proactively push data-driven solutions.
- Proficient in the Python data science stack (Pandas, NumPy, Spark, Matplotlib).
- Working knowledge of Snowflake, Linux/UNIX, Git, Jira.
- Embracing agentic engineering — willingness and ability to work effectively with AI-assisted development tools as part of daily workflow.
- Ability to present technical results and concepts to non-technical audiences, including RI stakeholders, investment professionals and clients.
- Comfortable working in an agile, iterative environment — able to adapt quickly to shifting priorities and deliver incrementally.
- Strong attention to detail and a methodical approach to data quality and analytical rigour.
- Strong academic record with a degree in a STEM field.
Nice to have
- Experience working with investment professionals in a fast-paced environment.
- Familiarity with RI frameworks and standards (e.g. SFDR, TCFD, GSIA definitions, EU Taxonomy).
Inclusion, Work-Life Balance and Benefits at Man Group
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual “Mankind” days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status.
Accessibility
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact.
Data Scientist employer: LGBT Great
Man Group is an exceptional employer that fosters a culture of inclusion and innovation, making it an ideal place for Data Scientists passionate about responsible investment and sustainability. With a commitment to employee growth, flexible working arrangements, and a comprehensive benefits package, including paid community volunteering days, Man Group empowers its employees to thrive both personally and professionally in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Man Group. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those related to data wrangling and sustainability. Use real examples to demonstrate how you've tackled challenges in the past.
✨Be Ready for Technical Questions
Brush up on your Python skills and be prepared to discuss your experience with data visualisation and statistical techniques. They might throw some technical questions your way, so being ready will show you're the real deal!
✨Apply Through Our Website
Don’t forget to apply directly through the Man Group 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 Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role at Man Group. Highlight your experience with data wrangling, statistical techniques, and any relevant projects that showcase your skills in responsible investment and sustainability.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about responsible investment and how your background aligns with our mission. Share specific examples of how you've used data to drive insights and decision-making in previous roles.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in the Python data science stack and any experience with tools like Snowflake or Git. We want to see how you can leverage these skills to enhance our RI research and investment processes.
Apply Through Our Website:We encourage you to apply directly through our website. This way, your application will be reviewed by our team, and you'll have a better chance of standing out in the process. Plus, it’s super easy!
How to prepare for a job interview at LGBT Great
✨Know Your Data Inside Out
Before the interview, dive deep into the types of RI and sustainability datasets you might be working with. Familiarise yourself with common data wrangling techniques and statistical methods relevant to these datasets. This will not only show your expertise but also your genuine interest in the role.
✨Showcase Your Python Skills
Since proficiency in the Python data science stack is essential, prepare to discuss specific projects where you've used libraries like Pandas or NumPy. Bring examples of how you've transformed and analysed data, and be ready to explain your thought process clearly.
✨Understand Responsible Investment Trends
Stay updated on the latest trends in responsible investment, climate science, and sustainable finance regulations. Being able to discuss current events or recent developments in these areas will demonstrate your passion and commitment to the field during the interview.
✨Prepare for Technical and Non-Technical Questions
Expect a mix of technical questions and those aimed at assessing your ability to communicate complex concepts to non-technical stakeholders. Practice explaining your work in simple terms, as this will be crucial when collaborating with investment professionals and clients.
