Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collaborate with investment teams to analyse alternative data and generate actionable insights.
- Company: Top-tier global alternative investment manager with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in investment strategies using cutting-edge data science techniques.
- Qualifications: 3-8 years in Data Science, strong Python and SQL skills, and investment-facing experience.
- Other info: Dynamic role with excellent career advancement opportunities in a collaborative environment.
The predicted salary is between 70000 - 90000 ÂŁ per year.
A topâtier global alternative investment manager is hiring a Senior Data Scientist to work closely with frontâoffice investment teams, applying alternative and traditional data to research and alpha generation across a multiâasset platform, with a macro tilt. This role sits within a central Data & AI function and partners directly with PMs and researchers. It goes beyond a traditional SDA profile, combining handsâon data science with strong frontâoffice engagement and a focus on scalable data onboarding and evaluation - improving the existing platform.
The Role
You will work endâtoâend across the data discovery, onboarding, evaluation, insight lifecycle. PMs expect this person to understand their investment processes and proactively bring ideas and use cases, not just react to requests. You will have a data sourcing team and engineering team to lean on.
Key Responsibilities
- Partner closely with PMs and research teams to identify data opportunities and develop investmentârelevant use cases.
- Acquire, clean, and analyse large, messy and unstructured datasets, with a strong emphasis on alternative data and timeâseries analysis.
- Conduct exploratory analysis, statistical testing, and KPI research to generate actionable insights for frontâoffice teams.
- Contribute to the design of scalable data onboarding and evaluation workflows, working alongside engineering teams who execute most core builds.
- Build proofâofâconcept analyses and AIâenabled tools to accelerate research and data adoption across the business.
Requirements
- 3-8 years' experience in a Data Science or investmentâfacing research environment, ideally with exposure to alternative data or SDAâtype work.
- Strong foundations in data wrangling, timeâseries analysis, Python, and SQL within a modern data science stack.
- Experience working closely with investment stakeholders (buyâside preferred; investmentâfacing sellâside considered).
- Ability to clearly communicate technical work to PMs and nonâtechnical audiences.
- Strong interest in using AI tools as part of the dayâtoâday workflow (debugging, accelerating delivery, improving output quality).
Nice to Have
- Experience supporting multiple PM or quant research teams.
- Exposure to platform or workflow design around data onboarding and evaluation.
- Familiarity with Snowflake, webâscraping, or lightweight pipeline development (tooling is flexible).
If you feel this role is a good fit apply today!
Senior Data Scientist (Alt Data & Research) | 12m FTC in London employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Scientist (Alt Data & Research) | 12m FTC in London
â¨Tip Number 1
Network like a pro! Reach out to your connections in the investment and data science fields. Attend industry events or webinars where you can meet potential employers and showcase your skills. Remember, itâs all about who you know!
â¨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the investment processes. Be ready to discuss how you can apply alternative data to generate insights. Show them youâre not just a data whiz but also a strategic thinker!
â¨Tip Number 3
Donât underestimate the power of a strong online presence. Share your projects, insights, and thoughts on platforms like LinkedIn. This not only showcases your expertise but also makes you more visible to recruiters looking for someone with your skill set.
â¨Tip Number 4
Finally, apply through our website! Weâve got a streamlined process that makes it easy for you to get your application in front of the right people. Plus, it shows youâre genuinely interested in joining our team!
We think you need these skills to ace Senior Data Scientist (Alt Data & Research) | 12m FTC in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with alternative data and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our team. Don't forget to mention your experience working with investment stakeholders.
Showcase Your Technical Skills: We love seeing your technical prowess! Be sure to include specific examples of your work with Python, SQL, and data wrangling. This will help us understand your hands-on experience and how you can hit the ground running.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents!
How to prepare for a job interview at Selby Jennings
â¨Know Your Data Inside Out
Make sure youâre well-versed in the types of alternative data relevant to the role. Brush up on your experience with data wrangling, time-series analysis, and any specific tools like Python and SQL. Being able to discuss your past projects and how youâve handled messy datasets will impress the interviewers.
â¨Engage with Investment Processes
Understand the investment processes that PMs use and think about how your data science skills can enhance their strategies. Prepare examples of how youâve proactively identified data opportunities in previous roles. This shows youâre not just a reactive problem-solver but someone who can bring valuable insights to the table.
â¨Communicate Clearly and Confidently
Youâll need to explain complex technical concepts to non-technical stakeholders. Practice articulating your work in simple terms, focusing on the impact of your analyses rather than the nitty-gritty details. This will help you connect better with PMs and researchers during the interview.
â¨Showcase Your AI Enthusiasm
Since the role involves using AI tools, be ready to discuss how youâve integrated AI into your workflow. Share specific examples of how these tools have improved your output quality or accelerated delivery in past projects. This will demonstrate your forward-thinking approach and adaptability in a fast-paced environment.