Fraud Strategy Product Manager

Location: LONDON, LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we're redefining banking for the digital age with Chase UK, our innovative digital bank designed to deliver trusted, value-driven experiences to customers across the UK. As a Fraud Strategy Product Manager in our Predictive Science team, you'll play a pivotal role in safeguarding our digital ecosystem against evolving fraud threats. Based in the heart of London, you'll leverage cutting-edge predictive analytics to build robust strategies that protect customer assets while ensuring seamless transactions. This position is ideal for a forward-thinking professional passionate about financial security and technology innovation in a global leader like JP Morgan Chase. In this role, you'll lead the development of fraud prevention products, collaborating with data scientists, engineers, and risk experts to deploy machine learning models that detect anomalies in real-time. You'll analyze vast datasets from Chase UK's transaction volumes to uncover patterns, refine detection algorithms, and integrate them into our mobile and online platforms without disrupting user experience. Your work will directly contribute to maintaining our reputation as a secure banking partner, adhering to stringent UK regulations like PSD2 and AML while driving efficiency in our fraud operations. Joining JP Morgan Chase means being part of a collaborative culture that values diverse perspectives and invests in your growth. You'll have opportunities to influence strategic initiatives, mentor teams, and innovate at the intersection of finance and technology. With access to world-class resources and a commitment to work-life balance, this role offers the chance to make a meaningful impact in digital banking's future.

Key Responsibilities

• Develop and execute fraud strategy roadmaps for Chase UK's digital banking products, focusing on predictive science to enhance customer protection
• Collaborate with data scientists, engineers, and compliance teams to design and deploy advanced fraud detection models using machine learning
• Analyze fraud patterns and trends in transaction data to identify emerging risks and recommend proactive mitigation strategies
• Lead product lifecycle management for fraud prevention tools, from ideation to implementation and continuous optimization
• Partner with cross-functional stakeholders to integrate fraud controls into user experience without compromising seamless digital banking services
• Monitor and report on key fraud metrics, ensuring alignment with JP Morgan Chase's risk appetite and regulatory obligations
• Conduct A/B testing and performance evaluations of fraud strategies to drive data-informed improvements
• Stay abreast of industry developments in fraud tactics and technologies, incorporating best practices into Chase UK's ecosystem
• Mentor junior team members on fraud strategy principles and predictive analytics applications

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Finance, or a related field
• Minimum of 5 years of experience in fraud prevention, risk management, or product management within the financial services industry
• Proven track record in developing and implementing fraud detection strategies using predictive analytics
• Strong understanding of regulatory requirements such as GDPR, PSD2, and anti-money laundering (AML) standards in the UK and EU
• Experience with agile methodologies and cross-functional team collaboration in a fast-paced environment
• Proficiency in data analysis tools and programming languages relevant to fraud modeling

Preferred Qualifications

• Advanced degree (Master's or MBA) in a quantitative field
• Experience working with digital banking platforms or fintech innovations
• Certification in fraud examination (e.g., CFE) or data science (e.g., from Coursera or similar)
• Prior exposure to machine learning applications in financial fraud detection
• Knowledge of Chase UK's operations or similar digital banking initiatives

Required Skills

• Expertise in predictive modeling and machine learning algorithms for fraud detection
• Proficiency in SQL, Python, or R for data querying and analysis
• Strong analytical thinking and problem-solving abilities
• Knowledge of big data technologies like Hadoop or Spark
• Experience with fraud management systems (e.g., Actimize or similar)
• Excellent communication skills for presenting complex data to non-technical stakeholders
• Project management skills using tools like Jira or Confluence
• Understanding of cybersecurity principles in financial transactions
• Adaptability to evolving regulatory landscapes in banking
• Team collaboration and leadership in multidisciplinary environments
• Attention to detail in risk assessment and model validation
• Familiarity with API integrations for real-time fraud monitoring
• Strategic thinking for long-term product roadmap planning
• Customer-centric approach to balancing security and user experience

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous pension contributions and retirement savings plans
• Flexible working arrangements, including hybrid remote options in London
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plans and financial wellness resources
• Paid time off, including vacation, sick leave, and parental benefits
• Access to on-site fitness facilities and wellness programs at JP Morgan offices

JP Morgan Chase is an equal opportunity employer.