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 team 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 - 70000 £ per year.
Trading Data Analyst – Risk & Client Analytics Jobs in London Area, United Kingdom at Finalto
Title
Trading Data Analyst – Risk & Client Analytics
Company
Finalto
Location
- London Area, United Kingdom
- Company Description
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.
Role Description
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.
- What We Are Looking For
- 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.
- Nice to Have
- 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.
- Preferred Background
- 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.
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Trading Data Analyst – Risk & Client Analytics in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Fossepark. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Trading Data Analyst – Risk & Client Analytics in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Fossepark.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Fossepark's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Fossepark
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Fossepark.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Fossepark will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Fossepark employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
