At a Glance
- 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, exposure to senior stakeholders, and opportunities for career advancement.
- Other info: Collaborative culture with clear pathways to leadership roles.
- Why this job: Transform legacy systems into AI-ready frameworks and make a real impact on global trading.
- Qualifications: Strong experience in Python, SQL, and Tableau; statistical knowledge is a plus.
The predicted salary is between 48000 - 72000 £ 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
- 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 employer: Nicoll Curtin
As a leading FinTech firm based in London, we pride ourselves on fostering a dynamic and innovative work environment where Surveillance Analysts can thrive. Our collaborative culture encourages hands-on involvement in shaping cutting-edge surveillance frameworks, offering employees significant growth opportunities and direct influence over strategic decisions. With a focus on data-driven methodologies and AI integration, we provide a unique platform for professionals to elevate their careers while contributing to the future of electronic trading.
StudySmarter Expert Advice🤫
We think this is how you could land Surveillance Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those working in surveillance or analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python, SQL, and Tableau projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and be ready to discuss how you've tackled real-world problems with data. We want to see your thought process and how you approach challenges!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Surveillance Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Surveillance Analyst role. Highlight your experience with Python, SQL, and Tableau, and don’t forget to mention any relevant projects or achievements that showcase your ability to design and optimise surveillance frameworks.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about surveillance analytics and how your background makes you a perfect fit for the role. Be sure to mention your hands-on experience and your enthusiasm for data-driven methodologies.
Showcase Your Technical Skills:Since this role requires strong technical capabilities, make sure to include specific examples of how you've used Python, SQL, and Tableau in your previous roles. If you’ve worked on AI/ML applications, definitely highlight that too!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Nicoll Curtin
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Tableau skills before the interview. Be ready to discuss specific projects where you've used these tools to optimise surveillance frameworks or analyse datasets. Showing that you can talk the talk and walk the walk will impress your interviewers.
✨Understand the Business Context
Familiarise yourself with the FinTech landscape, especially around electronic trading and Fixed Income asset classes. Being able to connect your technical skills to real-world applications in this sector will demonstrate your understanding of the role and its impact on the business.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to surveillance alerts or data analysis. Practise articulating your thought process clearly, as this will showcase your analytical skills and how you approach complex challenges in a collaborative environment.
✨Showcase Your Stakeholder Management Skills
Since this role involves influencing various stakeholders, be prepared to share examples of how you've successfully communicated and collaborated with different teams in the past. Highlighting your ability to bridge gaps between technical and non-technical teams will set you apart.
