At a Glance
- Tasks: Design and build systems to detect trading risks and fraud in a fast-paced environment.
- Company: Join Zeal Group, a global FinTech leader with a collaborative culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Ideal for proactive individuals who thrive on ownership and autonomy.
- Why this job: Make a real impact by building innovative solutions in trading risk and fraud detection.
- Qualifications: 3+ years in quantitative analysis, strong Python skills, and a background in finance.
The predicted salary is between 59400 - 72600 £ per year.
Zeal Group is an award-winning global FinTech powerhouse with 700+ professionals across London, Europe, Asia, MENA, and South America. Through our subsidiary Traze, we deliver advanced multi-asset trading solutions across Gold, Oil, FX, Indices, and Cryptocurrencies, built for today's fast-moving, high-volatility markets.
About The Role
We are looking for a Senior Quantitative Analyst to own the technical and analytical backbone of our trading risk and fraud function. This is a hands-on, individual-contributor role — not a management position. You will design, build, and maintain the systems that detect toxic flow, latency arbitrage, and abusive trading behaviour, and you will use that technology yourself to investigate, classify, and act on risk. You'll report to the Head of Risk, working with a high degree of autonomy and minimal oversight. The ideal candidate must have hands-on experience and strong foundation with machine learning and data science in financial markets.
Responsibilities
- Design and build the backend infrastructure, monitoring tools, and detection algorithms used to identify toxic flow, latency arbitrage, and abusive trading patterns.
- Use the systems you build to investigate trading and non-trading activity, detect suspicious behaviour, and report findings.
- Analyse existing and new trading products and promotions for fraud/abuse exposure and propose mitigations.
- Classify clients to support A-book/B-book decisioning and profitable execution outcomes.
- Own end-to-end delivery: from raw data extraction and hypothesis testing through to production deployment of monitoring and alerting systems.
- Continuously identify gaps in current processes and design new logic to increase automation and reduce manual intervention.
- Mentor others on technical and analytical approaches as the function grows.
Requirements
- Must have 3+ years' experience in Quant/Trading OR FX/CFD brokerage environment, in a quantitative, risk, or analytics role.
- Proficient experience with Python is mandatory.
- Demonstrated experience independently building and owning production-grade tools, dashboards, or systems (not just using existing ones).
- Can provide evidence of data science related projects, ideally end-to-end driven projects.
- Strong knowledge of financial trading products, trading conditions, and execution mechanics.
- Understanding of fraud/abuse patterns in trading (toxic flow, latency arbitrage, manipulation).
- Bachelor's degree or higher in Mathematics, Statistics, Physics, Finance, or a related quantitative field.
- Comfortable working with high ownership and low supervision; proactive and self-directed.
Preferred
- Experience with SQL.
- Experience or understanding of A/B-book risk models, transaction cost analysis, or execution analytics.
- Exposure to regulatory reporting (MAR, FCA, CySEC, ASIC).
- Track record of mentoring junior analysts.
This role suits someone who wants to build something from the ground up and use it, not just analyse data others have prepared. If you're a quant who thinks in systems, takes initiative without being asked, and wants ownership over a real risk function — this is built for you.
Senior Quantitative Analyst - Trading Risk & Fraud employer: Traze
At Zeal Group, we pride ourselves on being an award-winning global FinTech powerhouse that fosters a dynamic and innovative work culture. Our employees benefit from a global platform with real growth ambitions, exposure to fast-growing markets, and a culture that rewards performance and initiative. Join us to not only advance your career but also to be part of a team that is shaping the future of trading solutions in high-volatility markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Analyst - Trading Risk & Fraud
✨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 Traze. 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 Senior Quantitative Analyst - Trading Risk & Fraud
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 Traze.
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 Traze'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 Traze
✨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 Traze.
✨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 Traze 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 Traze 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.
