Senior Product Manager - Risk Monitoring

TN United Kingdom; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Product Manager for their Customer Risk Monitoring team. This pivotal role involves aligning risk analytics with business strategy to combat financial crimes such as fraud and money laundering. You will collaborate with data scientists and analysts to develop monitoring standards and ensure compliance with AML regulations. Your expertise will help optimize processes and enhance stakeholder relationships, ultimately protecting customer trust and minimizing financial losses. Join this innovative firm to make a significant impact in the finance sector.

Qualifications

• 5+ years in transaction monitoring roles in payments or business banking.
• Solid knowledge of UK and EU AML regulations.
• Experience with data science and AI solutions.

Responsibilities

• Develop training and review alerts for suspicious activity.
• Analyze data for trends and suggest monitoring rule improvements.
• Collaborate on ad-hoc risk projects.

Skills

Transaction Monitoring

KYC/KYB Refreshes

Trend Analysis

Communication

Process Optimization

Regulatory Compliance

Stakeholder Management

Data Science

Education

AML Qualification (ICA or ACAMS)

Job description

Social network you want to login/join with:

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Client:

Teya

Location:

London, United Kingdom

Job Category:

Finance

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EU work permit required:

Yes

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Job Reference:

769d5afe192d

Job Views:

3

Posted:

08.05.2025

Expiry Date:

22.06.2025

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Job Description:

The Customer Risk Monitoring team, part of the Acceptance group, is responsible for implementing and maintaining analytical intelligence to protect Teya and its customers from financial risks such as fraud and money laundering. Our goal is to minimize financial losses while maintaining customer trust and regulatory compliance. The team collaborates closely with Ops teams investigating suspicious activities.

As the Product Manager for this team, you will build strong partnerships with stakeholders to align risk analytics with business strategy. You will work with data scientists, analysts, engineers, and operations specialists, from individual contributors to leadership.

Job Purpose

You will define standards for monitoring member behavior to prevent financial crimes, enforce policies, and ensure compliance with AML regulations. This includes transaction monitoring, investigations, and periodic KYB/KYC data refreshes.

Key accountabilities

• Transaction and Member Monitoring: Develop training and review alerts for suspicious activity.
• KYC/KYB Refreshes: Advise on best practices and perform refreshes as needed.
• Trend Analysis: Analyze data for trends and suggest monitoring rule improvements.
• Member Escalations: Manage escalation processes effectively.
• Rule Setting: Propose and refine customer monitoring rules based on data insights.
• Communication: Produce reports and build relationships with stakeholders.
• Process & System Optimization: Identify and implement improvements and automation.
• Horizon Scanning: Stay updated on regulation changes and assess impacts.
• Strategic Support: Collaborate on ad-hoc risk projects.

The role

• Contribute to product strategy and roadmap for fraud and AML prevention.
• Develop GTM strategies, analyze issues, and propose solutions.
• Work with data teams to define requirements and evaluate models.
• Lead discovery initiatives and stay informed on industry trends.
• Use data to guide product decisions and understand technical concepts like SLAs, SLOs, and observability tools.
• Ensure regulatory compliance (PCI, GDPR, Data Retention).
• Manage stakeholder relationships and external dependencies.
• Identify risks, plan scenarios, and manage timelines.
• Leverage data to find opportunities to serve merchants better.

Qualifications

• At least 5 years in transaction or ongoing monitoring roles in payments or business banking.
• Deep understanding of card acquiring and business banking.
• Solid knowledge of UK and EU AML regulations.
• Excellent communication and teamwork skills.
• Highly organized, motivated, and able to challenge and motivate others.
• Experience with data science and AI solutions.
• Experience with regulated products and audits.
• Desired: AML qualification such as ICA or ACAMS.