Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Data Science Lead Vice President in Risk Management, you will help build a foundation of state-of-the-art technical and scientific capabilities to support a number of ongoing and planned data analytics projects. We build partnerships with stakeholders in this role to facilitate adoption of the analytical solutions by the lines of business. You will require frequent interaction and communication with cross-functional partners will be visible to the managers and executives of the organization. You will excel at creative thinking and problem solving, be self-motivated, confident and ready to work in a fast-paced energetic environment.
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Job responsibilities
- Mentor and guide a highly efficient team, responsible for using advanced Machine Learning techniques to build capabilities for mitigating fraud across various payment channels such as QuickPay, Wires, ACH, Check as well as Digital Account Originations, Credit Card Originations etc.
- Work closely with business analysts, product owners and operations to find tangible opportunities to prevent fraud, enhance customer experience and provide insights which will allow us to assess the risk of portfolio in several dimensions.
- Drive research, design, implementation, and evaluation of machine learning approaches and analytical tools
- Build an in-depth understanding of the problem domain and available data assets
- Perform ad-hoc exploratory statistics and data mining tasks on diverse datasets from small scale to "big data"
- Investigate data visualization and summarization techniques for conveying key findings
- Partner with and communicate findings to stakeholders to help drive the delivery to market
- Provide leadership, coaching and mentoring to a group of fraud data scientists
- Promote a culture of innovative thinking, developing forward-looking solutions by empowering team members
Required qualifications, capabilities, and skills
- Bachelor's Degree with concentrations in Mathematics, Statistics, Computer Science, Physical Science, Engineering, or other quantitative discipline
- 5+ years of experience in analytics
- Managerial experience in leading teams with a track record of increasing responsibilities.
- Fundamental understanding of probability and statistics and experience in ML algorithm development using large scale data
- Desire to use modern technologies as a disruptive influence for solving large scale business problems
- Strong verbal and written communication- have the ability to present information in concise easily understandable way
Preferred qualifications, capabilities, and skills
- Master's Degree preferred
- Prior AWS, Python and PySpark experience preferred
- Experience preferably in data science domain, in risk management within Banking Industry
- Understanding of Graph Analytics will be preferred, but not mandatory
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 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.