Strategic Analytics [Multiple Positions Available]

Location: Wilmington, DE, United States

Job Family: Strategy

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, safeguarding our clients' assets against sophisticated fraud and scams in an ever-evolving landscape. As a Strategic Analytics professional in our Wilmington, DE office, you will play a pivotal role in analyzing emerging threats and driving the development of cutting-edge fraud-fighting solutions. This position within the Strategy category offers multiple openings for talented individuals passionate about leveraging data to protect one of the world's leading financial institutions. You will contribute to initiatives that not only mitigate risks but also enhance our competitive edge in the global banking sector, ensuring trust and security for millions of customers. Your core responsibilities will include dissecting complex fraud patterns using advanced analytics tools and recommending actionable strategies to minimize financial losses. You will design and prototype new products, such as AI-powered detection systems, collaborating closely with technology and compliance teams to bring them to life. By staying ahead of industry trends—like phishing schemes, account takeovers, and synthetic identity fraud—you will help shape JP Morgan Chase's proactive defense mechanisms, directly impacting our ability to deliver secure, seamless banking experiences. This role demands a blend of technical expertise and strategic foresight, with opportunities to influence high-level decisions at a Fortune 500 company. Join a dynamic team in Wilmington, where you'll benefit from JP Morgan's robust resources, including access to vast datasets and state-of-the-art analytics platforms. If you thrive in a collaborative environment and are committed to combating financial crime, this position offers a rewarding path to advance your career in financial services strategy.

Key Responsibilities

• Analyze emerging fraud and scam trends using advanced data analytics to identify patterns and risks
• Recommend proactive mitigating actions to senior leadership to protect client assets and reduce losses
• Develop innovative fraud and scam-fighting products by designing workflows and integrating AI-driven solutions
• Collaborate with cross-functional teams including technology, compliance, and product development to implement strategies
• Conduct in-depth research on global financial crime trends and their impact on JP Morgan Chase operations
• Monitor and evaluate the effectiveness of fraud prevention measures, iterating based on performance metrics
• Create detailed reports and visualizations to communicate findings and recommendations
• Stay abreast of industry regulations and technological advancements in fraud detection
• Support the integration of new tools and platforms to enhance real-time fraud monitoring
• Mentor junior analysts and contribute to team knowledge-sharing initiatives

Required Qualifications

• Bachelor's degree in Finance, Data Science, Computer Science, or a related field
• 3+ years of experience in fraud analytics, risk management, or financial services strategy
• Proficiency in data analysis tools and programming languages such as Python or SQL
• Strong understanding of emerging fraud trends and scam tactics in the banking sector
• Experience in developing and implementing fraud mitigation strategies
• Ability to work collaboratively in a fast-paced, cross-functional team environment
• Excellent communication skills for presenting insights to senior stakeholders

Preferred Qualifications

• Advanced degree (Master's or MBA) in a quantitative field
• 5+ years in fraud prevention or cybersecurity within a major financial institution
• Experience with machine learning models for anomaly detection in transaction data
• Familiarity with regulatory requirements such as those from the OCC or FDIC
• Prior work at JP Morgan Chase or a similar global bank

Required Skills

• Data analysis and visualization (e.g., Tableau, Power BI)
• Programming in Python, R, or SQL for querying large datasets
• Machine learning and AI for predictive fraud modeling
• Knowledge of financial regulations and compliance standards
• Analytical thinking and problem-solving in complex scenarios
• Strategic planning and product development in fintech
• Risk assessment and trend forecasting
• Communication and presentation skills for executive audiences
• Project management and cross-team collaboration
• Attention to detail in high-stakes financial environments
• Adaptability to evolving fraud tactics and technologies
• Proficiency in big data tools like Hadoop or Spark
• Understanding of cybersecurity principles in banking
• Quantitative modeling and statistical analysis
• Leadership and mentoring abilities

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with company matching contributions
• Generous paid time off, including vacation, sick days, and parental leave
• Professional development opportunities through JP Morgan's internal training programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at Wilmington facilities
• Flexible work arrangements, including hybrid options for work-life balance

JP Morgan Chase is an equal opportunity employer.