At a Glance
- Tasks: Analyse and transform large datasets to drive responsible investment insights.
- Company: Join a leading global investment firm focused on sustainability.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Inclusive culture with opportunities for community volunteering and career development.
- Why this job: Make a real impact in responsible investment while leveraging cutting-edge data science.
- Qualifications: 5+ years in data wrangling and analysis, with a passion for sustainability.
The predicted salary is between 70000 - 90000 £ 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. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.
The Role
As a Senior 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. Man Group is a leader in bespoke proprietary RI investment and has created several tools and datasets. 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.
Qualifications
- 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).
Benefits
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. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. 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 in accordance with applicable federal, state and local laws. 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 us.
Data Scientist – Responsible Investment London employer: Man Group
Man Group is an exceptional employer, offering a dynamic work environment in London that champions equality and inclusion. Employees benefit from comprehensive professional development opportunities, flexible working arrangements, and a strong commitment to social responsibility through community initiatives. With a focus on innovation in responsible investment, team members are empowered to leverage advanced technology and data science to make a meaningful impact in the finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist – Responsible Investment London
✨Tip Number 1
Network like a pro! Reach out to current employees at Man Group on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing a role in the Data and AI division.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of responsible investment and sustainability datasets. Be ready to discuss how your skills can directly contribute to enhancing their RI research and investment processes.
✨Tip Number 3
Showcase your passion for data science and responsible investment during interviews. Share examples of past projects where you’ve successfully wrangled and analysed large datasets, especially if they relate to sustainability.
✨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 Man Group team.
We think you need these skills to ace Data Scientist – Responsible Investment London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Data Scientist in Responsible Investment. Highlight your experience with data wrangling, statistical techniques, and any relevant projects that showcase your passion for sustainability.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your skills align with Man Group's mission. Don't forget to mention your enthusiasm for leveraging AI tools in responsible investment.
Showcase Your Technical Skills:Be sure to highlight your proficiency in the Python data science stack and any experience you have with Snowflake or Linux/UNIX. Mention specific projects where you've used these skills to drive insights or improve processes.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Man Group
✨Know Your Data Inside Out
Before the interview, dive deep into the types of datasets you'll be working with at Man Group. Familiarise yourself with RI data, sustainability metrics, and any relevant frameworks like SFDR or TCFD. This will not only show your enthusiasm but also your readiness to contribute from day one.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the Python data science stack, especially tools like Pandas and NumPy. Bring examples of past projects where you’ve wrangled large datasets or built analytical tools. This will demonstrate your hands-on expertise and problem-solving abilities.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll be presenting technical results to non-technical audiences, practice explaining complex concepts in simple terms. Think of examples where you've successfully communicated data insights to stakeholders, as this will highlight your ability to bridge the gap between data science and investment strategies.
✨Stay Updated on Industry Trends
Research current trends in responsible investment and sustainable finance before your interview. Being able to discuss recent developments or innovations in the field will show your passion and commitment to the role, making you a standout candidate.
