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- Tasks: Design and optimise surveillance frameworks using data-driven methodologies in a dynamic trading environment.
- Company: Leading FinTech firm at the forefront of electronic trading platforms.
- Benefits: Competitive salary, collaborative culture, and opportunities for career advancement.
- Why this job: Transform legacy systems into AI-ready frameworks and make a real impact in finance.
- Qualifications: Deep knowledge of Fixed Income markets and advanced skills in Python, SQL, and Tableau.
- Other info: Immediate ownership with a clear pathway to leadership in a fast-growing function.
The predicted salary is between 36000 - 60000 £ per year.
Our client, a leading FinTech firm at the heart of electronic trading platforms, are looking for a Surveillance Analytics Lead to help modernise and elevate a global Fixed Income surveillance framework. This is not a traditional alert-review role - the ideal candidate is a hands-on surveillance specialist who enjoys building, optimising and refining detection frameworks, shaping alert logic, and embedding data-driven methodologies across a complex trading environment. You will play a key role in transforming a legacy surveillance capability into a scalable, AI-ready, analytics-driven control framework. The environment is collaborative, cross-functional and strategically focused, with direct exposure to senior stakeholders and meaningful influence over future surveillance architecture.
The Role
- Design, calibrate and optimise surveillance alert scenarios across Fixed Income asset classes
- Reduce false positives while maintaining high detection sensitivity and regulatory robustness
- Integrate new business initiatives into the surveillance framework
- Prepare, clean and model large trade, order and market datasets
- Use Python (NumPy, Pandas, Matplotlib) and SQL to drive data-led insights and alert calibration
- Build expert-level Tableau dashboards for alert activity, calibration outcomes and executive reporting
- Support the evolution of AI-driven surveillance capabilities and data automation
- Influence stakeholders across Compliance, Technology, Risk and Front Office globally
Core Requirements
- Deep Fixed Income market knowledge (bonds, repos, swaps, credit derivatives)
- Strong experience designing, tuning and calibrating trade surveillance alerts
- Advanced Python, SQL and Tableau capability (data preparation, analytics, visualisation)
- Strong statistical knowledge (distributions, regression, clustering, anomaly detection)
- Experience preparing structured and unstructured datasets for AI/ML applications
This role sits between Surveillance Specialist and Surveillance Lead - offering immediate ownership and delivery responsibility, with a clear pathway into formal leadership as the function continues to scale.
Surveillance Analyst in City of London employer: Nicoll Curtin
Contact Detail:
Nicoll Curtin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Surveillance Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in FinTech or surveillance roles. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Python, SQL, and Tableau. Include examples of how you've optimised alert scenarios or built dashboards. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Fixed Income markets. Be ready to discuss how you would approach designing and calibrating surveillance alerts. The more you can speak their language, the better!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Surveillance Analyst role!
We think you need these skills to ace Surveillance Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Surveillance Analyst role. Highlight your experience with Fixed Income markets and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t forget to emphasise your Python, SQL, and Tableau skills in your application. We’re keen on seeing how you’ve used these tools to drive data-led insights and improve surveillance frameworks. Be specific about your achievements!
Be Clear and Concise: When writing your cover letter, keep it clear and concise. We appreciate straightforward communication, so get to the point about why you're a great fit for the role and how you can contribute to our team.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people. Don’t miss out!
How to prepare for a job interview at Nicoll Curtin
✨Know Your Stuff
Make sure you brush up on your Fixed Income market knowledge. Understand the ins and outs of bonds, repos, swaps, and credit derivatives. Being able to discuss these topics confidently will show that you're not just a candidate, but a potential expert in the field.
✨Showcase Your Technical Skills
Be ready to demonstrate your advanced skills in Python, SQL, and Tableau. Prepare examples of how you've used these tools to drive data-led insights or optimise alert scenarios. If you can share specific projects where you’ve built dashboards or calibrated alerts, even better!
✨Think Data-Driven
Since this role is all about modernising surveillance frameworks, come prepared with ideas on how to integrate AI-driven capabilities and data automation. Think about how you can reduce false positives while maintaining detection sensitivity, and be ready to discuss your approach.
✨Engage with Stakeholders
This position involves influencing various stakeholders across Compliance, Technology, Risk, and Front Office. Prepare to talk about your experience working collaboratively in cross-functional teams and how you’ve successfully communicated complex ideas to senior stakeholders.