Fulfilment and Archival Services Team - Quant Analytics Senior Associate

Location: Columbus, OH, United States

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a commitment to innovation and excellence in serving our clients. The Fulfilment and Archival Services Team within Quant Analytics plays a critical role in ensuring seamless data management and insightful analytics for our product organizations. As a Senior Associate, you will lead the analytics book of work, driving quantitative initiatives that support data fulfilment, archival processes, and strategic decision-making in a dynamic banking environment. Based in our Columbus, OH office, this role offers the opportunity to collaborate with diverse teams across the firm, leveraging cutting-edge tools to enhance our competitive edge in the financial services industry. In this position, you will spearhead the development of advanced analytics models to optimize fulfilment workflows and archival systems, ensuring compliance with stringent regulatory standards such as those from the SEC and Federal Reserve. You will work closely with cross-functional partners in product analytics, technology, and risk management to deliver high-impact solutions that drive business growth and operational efficiency. Your leadership will involve mentoring team members, prioritizing projects, and presenting data-driven insights to executive stakeholders, all while navigating the complexities of large-scale financial data in a secure and ethical manner. We value professionals who thrive in a collaborative, high-performance culture and are passionate about quantitative analysis in finance. This role not only offers professional growth through exposure to JP Morgan Chase's global operations but also the chance to contribute to innovative projects that shape the future of banking. If you have a strong foundation in quant analytics and a drive to lead transformative initiatives, join us in Columbus to make a meaningful impact.

Key Responsibilities

• Lead the analytics book of work for the Fulfilment and Archival Services Team, prioritizing initiatives that support product analytics goals
• Collaborate with cross-functional teams, including product managers, data engineers, and compliance officers, to deliver actionable insights
• Develop and implement quantitative models for data fulfilment processes, ensuring accuracy and efficiency in archival services
• Analyze large-scale financial datasets to identify trends, risks, and opportunities in JP Morgan Chase's product offerings
• Oversee the archival of transaction data and reports in compliance with industry regulations and internal policies
• Mentor junior analysts and foster a culture of innovation within the Quant Analytics organization
• Prepare and present analytical reports to senior leadership, translating complex data into strategic recommendations
• Drive process improvements in data handling and analytics workflows to enhance operational efficiency
• Monitor key performance metrics for fulfilment services and recommend optimizations based on quantitative analysis
• Ensure data integrity and security in all analytics projects, adhering to JP Morgan Chase's risk management standards

Required Qualifications

• Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field
• Minimum of 5 years of experience in quantitative analytics, data analysis, or financial modeling within the financial services industry
• Proven track record in leading analytics projects and managing cross-functional teams in a high-stakes banking environment
• Strong proficiency in SQL, Python, or R for data manipulation and statistical analysis
• Experience with regulatory compliance and archival standards in financial data management
• Ability to handle large datasets and perform advanced quantitative analysis
• Excellent communication skills to present complex analytics to senior stakeholders

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline
• Experience with JP Morgan Chase's internal systems or similar large-scale banking platforms
• Knowledge of financial regulations such as Dodd-Frank, Basel III, or SEC archival requirements
• Prior leadership role in a quant analytics team within investment banking or asset management
• Certification in data analytics (e.g., CFA, FRM, or AWS Certified Data Analytics)

Required Skills

• Advanced SQL querying and database management
• Proficiency in Python or R for statistical modeling
• Data visualization tools like Tableau or Power BI
• Financial modeling and risk assessment techniques
• Knowledge of machine learning algorithms for predictive analytics
• Regulatory compliance and data governance expertise
• Project management and agile methodologies
• Strong analytical and problem-solving abilities
• Excellent verbal and written communication
• Team leadership and collaboration skills
• Attention to detail in data accuracy and auditing
• Time management in fast-paced financial environments
• Familiarity with big data technologies like Hadoop or Spark
• Quantitative research and hypothesis testing
• Stakeholder engagement and presentation skills

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off, including vacation, sick days, and parental leave
• Professional development programs and tuition reimbursement for advanced education
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at Columbus facilities
• Flexible work arrangements, including hybrid options for work-life balance

JP Morgan Chase is an equal opportunity employer.