Vice President - Data Scientist

Location: Metro Manila, National Capital Region, Philippines

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging technology to drive innovation in the financial services industry. As a Vice President - Data Scientist in our Predictive Science team, you will play a pivotal role in building, implementing, testing, and analyzing machine learning (ML) and artificial intelligence (AI) products and solutions. Based in Metro Manila, National Capital Region, Philippines, this position focuses on advanced analytics and A/B testing to enhance our global banking operations, including risk management, customer personalization, and fraud detection. You will contribute to high-impact projects that support JP Morgan Chase's commitment to data-driven decision-making and regulatory excellence in a dynamic financial landscape. Your key responsibilities will include designing scalable ML models tailored to financial datasets, conducting rigorous A/B tests to measure solution efficacy, and collaborating with multidisciplinary teams to integrate AI into production systems. You will analyze vast amounts of transactional and market data to uncover patterns that inform strategic initiatives, ensuring all solutions adhere to stringent compliance standards like those set by the Bangko Sentral ng Pilipinas and international financial regulations. This role demands a blend of technical expertise and business acumen to translate complex analytics into actionable insights that drive revenue growth and operational efficiency for JP Morgan Chase's clients worldwide. We seek a passionate data scientist who thrives in a collaborative environment and is eager to innovate within one of the world's leading financial institutions. Joining JP Morgan Chase offers not only the chance to work on cutting-edge predictive science but also unparalleled opportunities for career growth in a supportive culture that values diversity and inclusion. If you are ready to apply your expertise in ML/AI to real-world financial challenges, this Vice President role in our Manila office is an ideal opportunity to make a lasting impact.

Key Responsibilities

• Design, build, and implement machine learning and AI models to solve complex business problems in JP Morgan Chase's financial services operations
• Conduct A/B testing experiments to evaluate the performance and impact of ML/AI solutions on key metrics like customer engagement and risk reduction
• Analyze large datasets from financial systems to derive actionable insights and support data-driven decision-making
• Collaborate with cross-functional teams including engineers, product managers, and business stakeholders to deploy predictive models into production
• Develop and maintain advanced analytics pipelines for monitoring model performance and ensuring compliance with financial regulations
• Test and validate ML/AI products for accuracy, scalability, and robustness in handling real-time financial data
• Stay abreast of emerging AI technologies and integrate them into JP Morgan Chase's predictive science initiatives
• Mentor junior data scientists and contribute to the firm's knowledge-sharing culture
• Document methodologies, results, and recommendations for internal audits and regulatory reporting
• Optimize models for efficiency in cloud-based environments like AWS or Azure used by JP Morgan Chase

Required Qualifications

• Master's or PhD degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
• 5+ years of professional experience in data science, machine learning, or AI roles within the financial services industry
• Proven track record of building, implementing, and deploying ML/AI models in production environments
• Strong expertise in A/B testing methodologies and advanced statistical analytics
• Experience with large-scale data processing and analysis in financial datasets
• Proficiency in programming languages such as Python or R for data manipulation and modeling
• Ability to work collaboratively in cross-functional teams in a fast-paced banking environment

Preferred Qualifications

• Experience in fraud detection, risk modeling, or customer analytics at a major financial institution
• Familiarity with regulatory compliance in financial services, such as GDPR or Basel III
• Background in developing AI solutions for capital markets or investment banking
• Certification in machine learning (e.g., AWS ML Specialty or Google Professional ML Engineer)
• Prior experience at JP Morgan Chase or similar global bank

Required Skills

• Machine Learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Statistical analysis and hypothesis testing
• A/B testing and experimental design
• Big data technologies (e.g., Hadoop, Spark)
• Python and R programming
• SQL for database querying
• Data visualization tools (e.g., Tableau, Matplotlib)
• Cloud computing platforms (e.g., AWS, Azure)
• Financial modeling and risk assessment
• Problem-solving and analytical thinking
• Communication and stakeholder management
• Agile methodologies and version control (e.g., Git)
• Time management in high-pressure environments
• Ethical AI practices and bias mitigation
• Cross-functional collaboration

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Retirement savings plan with generous 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
• Flexible work arrangements, including hybrid options in Metro Manila
• Access to on-site fitness centers and wellness programs at JP Morgan facilities

JP Morgan Chase is an equal opportunity employer.