At a Glance
- Tasks: Analyse trading data and client behaviour to support decision-making across teams.
- Company: Finalto, a global leader in trading technology and liquidity solutions.
- Benefits: Professional growth opportunities, international exposure, and a dynamic work environment.
- Other info: Join a diverse team committed to innovation and operational excellence.
- Why this job: Make a real impact in the fast-paced world of trading and analytics.
- Qualifications: Experience in data analysis with strong Python and SQL skills.
The predicted salary is between 50000 - 65000 £ per year.
Finalto is a global leader in liquidity provision and trading technology solutions, serving institutional and B2B clients across financial markets worldwide. With regulated entities in the UK, Singapore, Cyprus, Australia, and the UAE, and additional operational teams in Denmark and Bulgaria, we combine international reach with local expertise.
Our business spans multi-asset liquidity, risk management, and cutting-edge trading platforms, supporting clients in achieving more efficient and sustainable growth. At the core of our success is our commitment to innovation, operational excellence, and robust governance.
As part of a global financial services group, Finalto combines the scale and stability of an established organisation with the agility of a fintech innovator. We are driven by collaboration, integrity, and performance. Joining Finalto means becoming part of a diverse and dynamic team where your contributions have real impact. We invest in our people, offering opportunities for professional growth, international exposure, and the chance to shape the future of trading technology and liquidity solutions.
We are looking for a Trading Data Analyst – Risk & Client Analytics to join our Risk team in London. This role sits at the intersection of trading, risk, data, and analytics. The successful candidate will analyse trading activity, client behaviour, execution quality, market data, and risk exposure to support informed decision-making across Risk, Trading, Quant, Data, and Technology teams.
This is not a pure reporting role. The role requires an investigative mindset and the ability to work with complex trading datasets to identify patterns, explain client flow, and provide practical insights that support decisions around client segmentation, pricing, execution setup, liquidity management, hedging strategy, and risk appetite.
Key Responsibilities- Analyse client trading behaviour, profitability, execution quality, order-flow characteristics, market impact, and risk exposure.
- Work with large trading and market datasets, including trade data, tick data, pricing data, execution data, order flow, and client-level performance data.
- Identify meaningful trends, anomalies, behavioural patterns, risk concentrations, and changes in client or product performance.
- Develop analytical approaches to better understand client flow, trading patterns, execution outcomes, and market-data behaviour.
- Support business decisions relating to risk appetite, client segmentation, pricing, execution configuration, liquidity management, and hedging strategy.
- Build and maintain dashboards, reports, and analytical tools that improve visibility of trading activity, execution performance, and trading risk.
- Use Python, SQL, Databricks, and other data tools to extract, clean, transform, analyse, and visualise data.
- Support automation of recurring analysis, monitoring, and reporting processes.
- Collaborate with Data and Technology teams to improve data quality, pipelines, and analytical frameworks.
- Communicate findings clearly to both technical and non-technical stakeholders.
- Experience in data analysis, trading analytics, risk analytics, execution analytics, market data, or another data-intensive analytical environment.
- Strong Python and SQL skills.
- Familiarity with Databricks or similar data analytics platforms.
- Strong analytical and problem-solving skills, with excellent attention to detail.
- Ability to work with large, complex, and sometimes imperfect datasets.
- Good understanding of statistics, data visualisation, and performance analysis.
- Strong interest in financial markets, trading behaviour, execution quality, market microstructure, and client-flow analysis.
- Ability to translate complex data into clear, practical recommendations for Risk, Trading, and senior management.
- Clear communication skills and confidence working with stakeholders across multiple functions.
- Experience with KDB/q, tick data, quote data, order lifecycle data, or high-frequency market data.
- Exposure to client-flow analysis, execution analytics, trading-pattern analysis, or market-data analytics.
- Familiarity with Java, C++, Streamlit, BI tools, dashboarding, or internal analytics applications.
- Exposure to FX, CFDs, equities, futures, commodities, indices, crypto, or other traded products.
- Understanding of trading concepts such as spread, slippage, liquidity, latency, order flow, execution quality, client profitability, hedging, and risk exposure.
- Previous experience in a broker, liquidity provider, market maker, hedge fund, bank, trading firm, e-trading business, or fintech environment.
- Degree in Computer Science, Mathematics, Statistics, Engineering, Quantitative Finance, Data Science, or a related quantitative discipline.
- Relevant professional experience, ideally around 2–5 years, although we are open to candidates with equivalent experience and strong capability.
Trading Data Analyst - Risk & Client Analytics in London employer: Finalto
Finalto is an exceptional employer that fosters a culture of innovation and collaboration, providing employees with the opportunity to work at the forefront of trading technology in the vibrant city of London. With a strong commitment to professional growth, employees benefit from international exposure and the chance to make impactful contributions within a diverse team. The company’s focus on operational excellence and robust governance ensures a stable yet agile work environment, making it an ideal place for those seeking meaningful and rewarding careers in financial services.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Data Analyst - Risk & Client Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to trading data analysis. Use real-world examples from your experience to showcase your skills and how they align with what Finalto is looking for.
✨Tip Number 3
Show off your analytical skills! Bring along a portfolio of projects or analyses you've done that demonstrate your ability to work with complex datasets and derive actionable insights. This will set you apart from the crowd.
✨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 being part of the Finalto team.
We think you need these skills to ace Trading Data Analyst - Risk & Client Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Trading Data Analyst role. Highlight your analytical skills, experience with Python and SQL, and any relevant projects that showcase your ability to work with complex datasets.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about trading analytics and how your background makes you a great fit for our team. Be specific about your interest in financial markets and how you can contribute to our success at Finalto.
Showcase Your Analytical Mindset:In your application, demonstrate your investigative mindset by discussing past experiences where you've identified trends or solved complex problems using data. We love candidates who can think critically and provide practical insights!
Apply Through Our Website:We encourage you to apply directly through our website. This way, your application will be processed more efficiently, and you'll have the chance to explore more about our company culture and values while you're at it!
How to prepare for a job interview at Finalto
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past roles, especially in relation to trading data analysis. Having specific examples of how you've extracted, cleaned, and visualised data will show that you're not just familiar with the tools, but can use them effectively.
✨Understand Trading Concepts
Familiarise yourself with key trading concepts like liquidity, execution quality, and client profitability. Being able to speak confidently about these topics will demonstrate your genuine interest in financial markets and your ability to analyse trading behaviour. Prepare to explain how these concepts relate to risk management and client analytics.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to analyse a dataset or identify trends. Practice explaining your thought process clearly and logically. This will help you showcase your analytical mindset and problem-solving skills, which are crucial for the role.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice communicating complex data insights in simple terms. Think of examples where you've had to present findings to different audiences. Clear communication is key to ensuring your insights lead to informed decision-making.
