FX Market Surveillance Product Director

About the role

LSEG (London Stock Exchange Group) is looking for an FX Market Surveillance Product Director to own, design and evolve FX trade surveillance across Spot, Forward, Swap, NDF, Options and emerging FX-linked products. The role defines, delivers and improves surveillance solutions that ensure compliance with regulatory requirements and internal risk standards across FX Trading Platforms, bridging business, compliance and technology teams to build monitoring tools and alerts that detect potential market abuse, misconduct and anomalies.

Key responsibilities

• Own product strategy, design and business and functional requirements for FX market surveillance systems, aligned with regulatory obligations and industry developments.
• Implement and help define the vision and business plans for budget approval and product roadmaps, communicating them to teams and senior leadership.
• Work with senior Compliance, Risk, Technology, Business and Engineering teams to gather requirements, prioritise features and implement them.
• Define KPIs for surveillance effectiveness and emerging trends, presenting at Board meetings and other governing forums.
• Contribute beyond the product line to wider business product strategy and identify growth or efficiency opportunities.

Required profile

• Demonstrable experience designing, delivering or governing trade surveillance for FX or closely related asset classes.
• Strong background in market abuse and misconduct surveillance alert requirements, including end-to-end logic definition.
• Proven knowledge of global market abuse regulatory typologies, especially in FX markets.
• Good knowledge of global regulatory requirements for FX trading (e.g. MAR, MiFID II, FX Global Code).
• Experience in a regulated environment with exposure to regulatory exams, audits or supervisory reviews.
• Excellent communication skills; previous FX trading experience desirable but not essential.

Required skills

• Familiarity with data analytics tools and SQL
• Ideal familiarity with machine learning concepts