VP – Risk Analytics – Prop Trading

Barclay Simpson; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A financial services group in London is seeking a Risk Analytics Manager. This role involves leading the development of analytics tools and dashboards while collaborating closely with trading, technology, and operations teams. Ideal candidates will have strong programming skills combined with risk measurement expertise.

Qualifications

• Experience in risk analytics and financial services.
• Strong programming skills, especially in relevant software.
• Ability to work in a high-performance environment.

Responsibilities

• Develop and enhance dashboards for risk monitoring.
• Improve data integrity and analytics capabilities.
• Partner with cross-functional teams on risk management.

Skills

Data analysis

Programming skills

Risk measurement

Data integrity

Job description

I am looking for an experienced and technically skilled Risk Analytics Manager to join a growing financial services group operating across trading, investment advisory, and market making. This is a fantastic opportunity for someone who thrives on building tools, solving complex problems, and turning data into meaningful insights that drive critical decisions.

As part of a high-performance risk team, you’ll lead the development and enhancement of dashboards, data pipelines, and models that power our risk analytics infrastructure. Your work will directly influence how risk is understood, monitored, and managed across a global, multi-asset platform.

The Role

You’ll be responsible for the tools and systems used to measure and report risk across the business. This includes developing analytics, improving data integrity, and partnering closely with teams across trading, technology, and operations. The role is hands-on, highly visible, and ideal for someone who can combine financial knowledge with strong programming skills.

You’ll design and maintain dashboards for real-time and historical risk monitoring, enhance key risk measures such as VaR, P&L attribution, and stress scenarios, and develop robust data pipelines to support risk modelling and reporting. You’ll work closely with cross-functional teams to align analytics with business objectives while ensuring data quality and consistency across systems. Clear documentation of methodologies and assumptions is also essential.

The Person

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We seek individuals from a diverse talent pool and encourage applicants from underrepresented groups to apply to our vacancies. Our commitment to fair recruitment processes means that we welcome applicants from all backgrounds, regardless of their lived experience or personal characteristics. We also invite applicants who meet most of the listed requirements, even if not all, to apply. If you require any adjustments to the application process, please let us know.

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