Job Description 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 Quant Analytics Manager 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 closely and collaborate with Product teams, Data management teams, Strategy teams, Technology Teams and broader D&A organization resources across multiple functional units to understand business requirements and objectives
- Lead conversations with and provide consultative support to the Open Banking Quad
- Structure and execute analysis to enable strategic decisions, set targets, and identify opportunities
- Translate data into meaningful insights and present a compelling story to stakeholders for decision making
- Identify opportunities to streamline and automate processes and reporting to improve efficiency
Required Qualifications, Capabilities, and Skills - Bachelors degree in a quantitative or other applicable field and 5+ years of experience in an analytics, product management or related role
- Experience managing analytics solutions and delivery within a complex organizational structure
- Ability to provide insights, manage stakeholder expectations, influence decision-making at all levels
- Hands on experience performing analysis and reporting using technologies such as SQL, Python, R
- Excellent communication skills with the ability to convey complex analytics concepts to stakeholders with varying levels of technical knowledge
- Proficient using MS Excel and PowerPoint
Preferred Qualifications, Capabilities, and Skills - Strong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment (Teradata, Hadoop, AWS, etc.)
- Demonstrated experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is key
- Experience with Adobe Analytics
- Experience with visualization techniques for data analysis and presentation (Tableau preferred)
About Us 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
About the Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
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