At a Glance
- Tasks: Support clients in leveraging data for investment strategies and conduct hands-on analysis in Python.
- Company: Join Intropic, a cutting-edge financial information and software company in Canary Wharf.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Ideal for recent graduates eager to take on responsibility and grow in a fast-paced industry.
- Why this job: Make a real impact in finance while working with sophisticated clients and advanced technology.
- Qualifications: Proficiency in Python, strong quantitative background, and excellent communication skills.
The predicted salary is between 54000 - 66000 £ per year.
Location: London, UK (Canary Wharf) · Type: Full-Time, On-site · Start: Immediate
Who We Are
Intropic is a financial information and software company operating at the cutting edge of global capital markets.
We pair modern technology (elastic cloud infrastructure and agentic AI systems) with deep market expertise to build information products that the world's most sophisticated financial institutions rely on every day.
Our clients include hedge funds, proprietary trading firms, index fund managers, large asset managers, sovereign wealth funds, and investment banks, who use our products to generate alpha, manage risk, and make better decisions in fast-moving markets.
We're best known for our Index Rebalance Forecast products, and we're now extending that edge into several other strategies.
Headquartered in London's Canary Wharf and expanding globally, we're a team that moves fast, takes real ownership, and holds itself to a high standard of rigour and integrity.
The Role
- As a
- Quantitative Analyst (Client Solutions)
, you'll work directly with Intropic's systematic clients, supporting them in getting the most out of our event-driven datasets.
You'll answer their questions on data quality and methodology, and produce analysis and worked examples that show how it translates into a live strategy.
You'll engage directly with quantitative desks at some of the most sophisticated firms in the world, working alongside them on problems that genuinely move the needle in their investment process.
Much of the work will be focused on hands‑on analysis in Python, alongside written research and direct client engagement.
This is a junior or entry-level role, well suited to a recent graduate or early-career professional looking to take on real responsibility from day one.
Responsibilities
- Help clients translate our data into actual strategies, working on portfolio construction, backtesting approaches, signal generation, and turning raw forecasts into something tradeable.
- Serve as a primary technical point of contact for our quantitative clients, fielding questions on data quality, methodology, coverage, and how to work with our datasets.
- Write and publish research articles, data notes, and worked examples that showcase the value in Intropic's data to a technical audience.
- Build reproducible examples and analysis in Python to support, illustrate and aid in your research process.
- Investigate and resolve data-related issues clients raise, working with our research and engineering teams to get to the truth quickly.
- Bring client feedback back to our product and research teams to help shape their priorities.
Requirements
- Strong working proficiency in Python and particularly Pandas. Comfortable working in Jupyter notebooks, with hands‑on experience on data science projects.
- Bachelor's or Master's degree in a STEM subject from a top university (preference towards Mathematics, Physics, Engineering, Economics or Finance), with a solid quantitative foundation built through study and/or work experience.
- Genuine interest in finance and capital markets, and the ability to learn new concepts fast.
- Excellent written communication: able to explain a technical result clearly to a sophisticated audience and produce publishable research.
- Meticulous attention to detail and sound judgment when working under time pressure or with incomplete information.
- Nice to Have
- Experience within quantitative finance, either through a sales, trading or a research role.
- Familiarity with index methodologies (MSCI, S&P, FTSE etc.) and passive fund mechanics.
- Active use of Git Hub and version control; exposure to backtesting or research frameworks.
- Prior familiarity with SQL and navigating sprawling data sets across platforms.
- Prior experience in a client-facing, research, data science or sales-engineering role at a financial data or trading firm.
- #J-18808-Ljbffr
Quantitative Analyst (Client Solutions) in London employer: Intropic
Intropic is an exceptional employer that fosters a dynamic and collaborative work environment, where employees are empowered to engage directly with founders and contribute to innovative AI-driven solutions. With a flat organisational structure, you will have ample opportunities for professional growth and development, particularly in navigating complex negotiations and bespoke deals within the exciting field of data licensing and partnerships. The company's commitment to modern technology and supportive culture makes it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst (Client Solutions) in London
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We think you need these skills to ace Quantitative Analyst (Client Solutions) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Intropic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Intropic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Intropic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Intropic!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
