Quantitative Analytics-Senior Associate
J.P. Morgan
Job Description
Champion innovation at the intersection of technology and business, guiding cross-functional teams to deliver analytics products that drive real value.
As a Quantitative Analyst on the Open Banking Analytics Team, you’ll be driving data and analytics strategy, execution, and innovation for Open Banking capabilities to support customers and external parties and ensure secure data sharing for our customers. You will work closely with quad partners (Product, Technology, Operations, and Risk) to identify opportunities, deliver actionable insights, and enable data-driven decision-making across the organization.
Job Responsibilities
- Partner with Open Banking Product Owners to understand business needs and deliver actionable data solutions for wires and international payments
- Develop and maintain queries, reports, and dashboards using large database platforms
- Combine and analyze data from multiple sources to deliver descriptive, diagnostic, predictive, and prescriptive analytics
- Support the creation and maintenance of data models, ensuring high data quality and consistency
- Collaborate with stakeholders across product, operations, and analytics teams to gather requirements and deliver insights
- Communicate complex analytical concepts in a clear, concise manner to audiences with varying levels of technical expertise
- Champion data and analytics best practices within the payments product group
Required Qualifications, Capabilities, and Skills
- Bachelor’s degree with two years of analytics experience or three years of related technical experience
- Hands-on experience with SQL, Alteryx, SAS, and Python for data analysis and reporting
- Knowledge of large-scale databases such as Hadoop, Teradata, Oracle, or AWS
- Ability to translate business requirements into technical solutions and actionable insights
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders
- Proficient using MS Excel and PowerPoint
Preferred Qualifications, Capabilities, and Skills
- Experience with Tableau and Adobe Analytics
- Exposure to machine learning concepts and applications
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
Analyze data from multiple sources to deliver descriptive, diagnostic, predictive, and prescriptive analytics