At a Glance
- Tasks: Join our Investment Analytics Team to develop data-driven solutions for investment professionals.
- Company: M&G, a leading savings and investments firm with over 175 years of innovation.
- Benefits: Enjoy 38 days annual leave, a generous pension scheme, and comprehensive health cover.
- Other info: Inclusive culture welcoming diverse backgrounds and flexible working arrangements.
- Why this job: Shape the future of investing with cutting-edge data science and machine learning.
- Qualifications: Advanced degree in a quantitative field and significant experience in data science for investments.
The predicted salary is between 60000 - 80000 € per year.
Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.
About the Role
Join our Investment Analytics Team as a Senior Data Scientist, where you’ll partner with investment professionals and cross-functional teams to shape the future of data-driven investing. As a Senior Data Scientist, you’ll play a key role in developing quantitative research and data science solutions that improve investment outcomes. You’ll collaborate closely with investment teams and Analytics colleagues, contribute to the development of internal tools, and support innovation initiatives across investments.
Key Responsibilities
- Collaborate closely with investment teams to understand their challenges and contribute to data-driven solutions, building strong working relationships across the business.
- Translate business problems into experiments and end-to-end solutions, delivering work that provides clear, measurable value.
- Design, develop, and deploy quantitative research and machine learning models to enhance investment decision-making.
- Contribute to the design and implementation of scalable data science and ML systems, leveraging cloud platforms and big data tools.
- Manage work across multiple projects, balancing delivery priorities and collaborating with peers and leads to ensure timely outcomes.
- Communicate complex technical concepts and insights clearly to both technical and non-technical stakeholders, using compelling storytelling to present assumptions, limitations and drive action.
- Stay abreast of the latest industry and academic developments in data science, quantitative finance and technology, identifying those with potential business impact.
- Apply and promote best practices in data science, including code quality, security, documentation, and agile methodologies.
Experience & Skills
- Significant experience applying data science in investments, with a proven track record of delivering end-to-end solutions from research prototype to production deployment.
- Deep expertise in quantitative research, backtesting, factor-based investing, and machine learning applications in trading.
- Advanced programming skills in Python and SQL; strong experience with data visualisation tools to present analysis to investment audiences.
- Hands-on experience with relational databases, cloud computing platforms and big data technologies.
- Demonstrated experience contributing to the design and scaling of data science and ML systems in a production environment.
- Excellent communication skills, with the ability to translate complex analytics into actionable business insights.
- Strong understanding of the investment process, trading across asset classes, and financial markets.
- Proactive, analytical, and structured approach to problem-solving, with a passion for innovation and continuous improvement.
- Comfortable working under pressure in a fast-paced environment; strong prioritisation skills and experience working in agile, iterative teams.
- A curious mindset with appetite to learn new technologies and techniques, and to push for practical innovation.
- Advanced degree (MSc/PhD) in a quantitative discipline (Statistics, Mathematics, Computer Science, Physics, Financial Engineering, CFA, CQF or similar).
What we offer:
At M&G, we’re committed to helping you thrive and supporting your wellbeing, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, while planning confidently for your future. Our UK benefits include:
- A valuable pension scheme of 18%, with 13% made up of Employer Contributions and 5% Employee Contributions.
- Share Save and our Share Incentive Plan, together with access to financial wellbeing and support services.
- 38 days annual leave including bank holidays, with the opportunity to purchase up to 5 extra days and additional flexibility through our Time Off When You Need It policy.
- Comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave.
- Health & Protection cover including Private Healthcare, Critical Illness cover and Life Assurance for you, with family options.
We have a diverse workforce and an inclusive culture at M&G, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.
M&G is also proud to be a Disability Confident Leader, and we welcome applications from candidates with long-term health conditions, disabilities, or neuro-divergent conditions. If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting us at: careers@mandg.com
Senior Investments Data Scientist in London employer: M&G FA Limited
At M&G, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee wellbeing is reflected in our generous benefits package, including a robust pension scheme, extensive annual leave, and comprehensive family support policies. With a focus on professional growth and a diverse, inclusive environment, we empower our employees to thrive both personally and professionally in the heart of the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Investments Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment and data science fields. Attend industry events or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to investments. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain complex data science concepts in simple terms. We want to see how you can communicate your insights effectively to both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team. So, go ahead and hit that apply button!
We think you need these skills to ace Senior Investments Data Scientist in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Investments Data Scientist role. Highlight your experience in data science, especially in investments, and showcase how your skills align with our mission of delivering data-driven solutions.
Showcase Your Technical Skills:We want to see your programming prowess! Be sure to mention your advanced skills in Python and SQL, as well as any experience with machine learning models. Don’t forget to include examples of how you've used these skills to solve real-world problems.
Communicate Clearly:Remember, we value clear communication! When writing your application, aim to explain complex concepts in a straightforward way. This will show us that you can effectively convey insights to both technical and non-technical stakeholders.
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. Plus, it gives you a chance to explore more about our culture and values while you're at it!
How to prepare for a job interview at M&G FA Limited
✨Know Your Data Science Stuff
Make sure you brush up on your quantitative research and machine learning skills. Be ready to discuss specific projects where you've applied these techniques, especially in the context of investments. They’ll want to see how you can translate complex data into actionable insights.
✨Understand the Investment Landscape
Familiarise yourself with the investment process and current market trends. Being able to speak knowledgeably about trading across asset classes will show that you’re not just a tech whiz but also understand the business side of things.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You might be asked to present your ideas to both technical and non-technical stakeholders, so being able to tell a compelling story with your data is key.
✨Show Your Collaborative Spirit
Since the role involves working closely with investment teams, be prepared to discuss how you’ve successfully collaborated in the past. Highlight any experiences where you’ve built strong relationships and contributed to team success.
