At a Glance
- Tasks: Monitor and investigate trading activities using advanced Python for data analysis.
- Company: Join a leading financial services firm focused on compliance and surveillance.
- Benefits: Competitive salary, opportunities for professional growth, and a dynamic work environment.
- Other info: Collaborate with tech and compliance teams to drive innovation in surveillance practices.
- Why this job: Make a real impact in financial markets while enhancing surveillance controls and methodologies.
- Qualifications: Strong analytical skills, advanced Python programming, and experience in trade surveillance.
The predicted salary is between 50000 - 60000 £ per year.
This is a highly analytical position suited to a technically strong surveillance professional with advanced Python skills, combining BAU alert investigation work with surveillance optimisation, data analytics, and model enhancement initiatives. This role sits within the Surveillance function and combines traditional trade surveillance responsibilities with a strong technical and data analytics focus. The successful candidate will support daily alert review and investigations across multiple asset classes while also driving surveillance enhancement, calibration, data analysis, and monitoring optimisation initiatives.
The position requires a highly analytical individual with advanced Python capability who can work across Compliance, Surveillance, and Technology teams to improve monitoring effectiveness, investigate trading activity, and enhance surveillance controls through data-driven analysis.
Key Responsibilities- Perform daily monitoring and investigation of surveillance alerts across trades, orders, RFQs, and market activity.
- Conduct detailed alert analysis, escalation management, and documentation of investigation outcomes.
- Identify potential market abuse, conduct risk, or control weaknesses and escalate appropriately.
- Analyse large surveillance and trading datasets to identify trends, anomalies, and gaps in monitoring coverage.
- Use Python extensively for surveillance analytics, automation, reporting, calibration analysis, and data interrogation.
- Support surveillance model validation, threshold reviews, parameter tuning, and monitoring optimisation exercises.
- Work closely with Technology and Front Office teams to resolve data quality, feed, and monitoring issues.
- Produce MI, statistical reporting, and management updates for senior stakeholders and regulatory purposes.
- Contribute to the enhancement of surveillance controls, monitoring methodologies, and operational processes.
- Maintain clear documentation, procedures, and audit trails relating to surveillance activities and model governance.
- Strong trade surveillance, market conduct, or compliance monitoring experience within financial services.
- Advanced Python programming and data analytics capability (essential).
- Strong experience handling and analysing large datasets within surveillance, compliance, risk, or trading environments.
- Experience using Python for automation, data analysis, reporting, and surveillance enhancement.
- Understanding of market abuse typologies including spoofing, layering, front running, wash trades, and manipulation scenarios.
- Ability to perform detailed investigations and clearly document findings and escalations.
- Strong analytical, problem-solving, and stakeholder communication skills.
- Experience producing management reporting and surveillance MI.
- Strong understanding of surveillance controls, alert frameworks, and calibration methodologies.
- Experience with surveillance vendor platforms and monitoring systems.
- SQL, VBA, or additional technical scripting capability.
- Knowledge of market data, trade flows, and investment banking products.
- Experience supporting surveillance model enhancement or validation initiatives.
- Understanding of FCA / EU market abuse regulations and conduct risk frameworks.
This role is best suited to a technically strong surveillance professional with deep data analysis capability. The position requires someone who can move beyond BAU alert handling and contribute meaningfully to surveillance enhancement, control optimisation, model calibration, and data-led monitoring improvements.
Surveillance Officer employer: Robert Walters
At Robert Walters, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our Surveillance Officer role offers competitive remuneration alongside opportunities for professional growth and development in a dynamic financial services environment. With a focus on advanced analytics and technology, employees are empowered to drive meaningful change while working closely with cross-functional teams in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Surveillance Officer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Python projects and data analysis work. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common surveillance scenarios and market abuse typologies. Being able to discuss these confidently will set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Surveillance Officer
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your advanced Python capabilities in your application. We want to see how you've used Python for data analysis, automation, and reporting in your previous roles. This is a key skill for the Surveillance Officer position!
Be Specific About Your Experience:When detailing your experience, focus on specific examples of trade surveillance or compliance monitoring. We love seeing concrete instances where you've identified market abuse or improved surveillance controls. It helps us understand your analytical prowess!
Keep It Clear and Concise:Your application should be easy to read and straight to the point. Use bullet points for your achievements and responsibilities to make it easier for us to spot your relevant skills and experiences. Clarity is key!
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’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Robert Walters
✨Know Your Python Inside Out
Since this role heavily relies on advanced Python skills, make sure you brush up on your programming knowledge. Be prepared to discuss specific projects where you've used Python for data analysis or automation, and maybe even solve a coding challenge during the interview.
✨Understand Market Abuse Scenarios
Familiarise yourself with market abuse typologies like spoofing and layering. Being able to discuss these concepts confidently will show that you understand the core responsibilities of the role and can contribute to identifying potential risks effectively.
✨Prepare for Data Analysis Questions
Expect questions that test your analytical skills, especially regarding large datasets. Think of examples where you've identified trends or anomalies in data and be ready to explain your thought process and the tools you used.
✨Communicate Clearly with Stakeholders
This position requires strong communication skills, especially when dealing with compliance and technology teams. Practice articulating complex ideas simply and clearly, as you'll need to produce management reports and updates for senior stakeholders.
