Data Scientist – Fraud Strategic Analytics Lead

Location: LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of innovation in financial services, leveraging cutting-edge data science to safeguard our clients and operations from evolving fraud threats. As the Data Scientist – Fraud Strategic Analytics Lead (VP level) in our London office, you will spearhead the fraud strategy and analytics team within the Predictive Science category. This role is pivotal in developing sophisticated models that detect fraudulent activities in real-time across our global payment networks, credit products, and digital banking platforms. Reporting to senior risk leadership, you will drive strategic initiatives that not only mitigate financial losses but also enhance customer trust in one of the world's largest banks. Your primary focus will be on leading the end-to-end lifecycle of fraud analytics projects, from data ingestion and exploratory analysis to model deployment and ongoing optimization. Utilizing advanced techniques in machine learning and statistical modeling, you will uncover hidden patterns in vast datasets derived from billions of transactions, adapting to sophisticated fraud schemes like account takeovers and synthetic identity fraud prevalent in the financial industry. Collaboration is key; you will partner with technology, compliance, and business units to integrate analytics into JP Morgan Chase's robust risk management framework, ensuring alignment with regulatory demands such as those from the FCA and EU financial authorities. This position offers a unique opportunity to influence fraud prevention at a enterprise scale, contributing to JP Morgan Chase's commitment to secure and innovative banking solutions. With access to world-class resources and a supportive team environment, you will mentor emerging talent while advancing your career in a dynamic, high-impact role. If you thrive in a fast-paced setting where data-driven decisions protect global finances, join us in London to lead the charge against fraud in the digital age.

Key Responsibilities

• Lead the development and deployment of advanced predictive models to detect and prevent fraud across JP Morgan Chase's global payment and banking platforms
• Analyze complex datasets from transaction monitoring systems to identify emerging fraud patterns and trends in the financial services sector
• Collaborate with cross-functional teams, including risk management, compliance, and technology, to design and implement fraud mitigation strategies
• Oversee the performance monitoring and optimization of fraud detection algorithms, ensuring high accuracy and minimal false positives
• Provide strategic insights and recommendations to senior leadership on fraud risk exposure and preventive measures
• Conduct A/B testing and experimentation to validate new analytics approaches and integrate them into production environments
• Ensure compliance with regulatory standards and internal policies while innovating in fraud analytics
• Mentor junior data scientists and analysts, fostering a culture of data-driven decision-making within the team
• Stay abreast of industry developments in fraud tactics and technologies, adapting strategies for JP Morgan Chase's evolving digital banking landscape

Required Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field; advanced degree (Master's or PhD) preferred
• 5+ years of experience in data science, analytics, or fraud detection within the financial services industry
• Proven track record in developing and implementing predictive models for fraud prevention
• Strong proficiency in statistical analysis and machine learning techniques
• Experience with large-scale data processing and analysis in a banking or fintech environment
• Familiarity with regulatory requirements such as GDPR, PSD2, and anti-money laundering (AML) standards
• Ability to lead cross-functional teams and manage stakeholder relationships in a global organization

Preferred Qualifications

• Experience working at a major financial institution like JP Morgan Chase or similar
• Advanced certifications in data science (e.g., AWS Certified Machine Learning, Google Data Analytics Professional)
• Knowledge of real-time fraud detection systems and anomaly detection algorithms
• Prior leadership role in fraud analytics or risk management teams
• Publication or contributions to fraud analytics research in financial journals

Required Skills

• Expertise in Python, R, or SQL for data manipulation and analysis
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Strong statistical knowledge including regression, clustering, and time-series analysis
• Experience with big data tools like Hadoop, Spark, or AWS services
• Familiarity with fraud detection tools and platforms (e.g., SAS Fraud Management, FICO Falcon)
• Analytical problem-solving and critical thinking skills
• Excellent communication skills for presenting complex data insights to non-technical stakeholders
• Leadership and team management abilities
• Knowledge of financial regulations and risk assessment methodologies
• Proficiency in data visualization tools like Tableau or Power BI
• Ability to handle sensitive data with strict confidentiality
• Project management skills for leading analytics initiatives
• Adaptability to fast-paced, high-stakes environments in banking
• Attention to detail in model validation and error reduction
• Collaborative mindset for working in global, multicultural teams

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous retirement savings plan with company matching contributions
• Paid time off including vacation, sick leave, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• Hybrid work model with flexibility for work-life balance in London
• Access to on-site fitness centers, wellness programs, and employee assistance services

JP Morgan Chase is an equal opportunity employer.