At a Glance
- Tasks: Analyse and transform large datasets to drive responsible investment insights.
- Company: Join a leading global investment firm focused on sustainability and innovation.
- 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 tools.
- 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.
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. 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.
Senior Data Scientist – Responsible Investment New London employer: Man Group
Man Group is an exceptional employer, offering a dynamic work environment in London that champions equality and inclusion. As a Senior Data Scientist, you will have the opportunity to collaborate with passionate teams on innovative projects in responsible investment, while benefiting from comprehensive professional development, flexible working arrangements, and a robust benefits package that includes generous leave for community volunteering. Join us to make a meaningful impact in the world of sustainable finance and advance your career in a supportive and forward-thinking culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist – Responsible Investment New 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 your interviews by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, data wrangling, and statistical techniques. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 3
Show your passion for responsible investment! Be ready to discuss recent trends in sustainability and how they relate to data science. This will demonstrate your enthusiasm and commitment to the field, which is key for a role at Man Group.
✨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 that you're genuinely interested in joining our team at Man Group.
We think you need these skills to ace Senior Data Scientist – Responsible Investment New London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. 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 is your chance to shine! Use it to express your passion for responsible investment and how your background aligns with Man Group's mission. Be specific about what excites you about the role and the company.
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 drive innovation in our RI function.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Man Group
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll be working with large and complex datasets. Make sure you understand the specifics of RI data and sustainability metrics. Brush up on your knowledge of statistical techniques and be ready to discuss how you've applied them in past projects.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in the Python data science stack, including tools like Pandas and NumPy. You might be asked to solve a problem on the spot, so practice coding challenges related to data wrangling and visualisation beforehand.
✨Understand the Business Context
Familiarise yourself with Man Group's approach to responsible investment and how data plays a role in their strategies. Be ready to discuss how your work can contribute to their goals and provide insights that align with their investment philosophy.
✨Communicate Clearly and Confidently
You'll need to present technical results to non-technical stakeholders, so practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated data-driven insights in previous roles, highlighting your ability to bridge the gap between data science and business needs.
