Quant Analytics Manager- Vice President

Job Description
Become an integral part of our Quant Analytics team! Each day will be unique - bring a positive attitude, entrepreneurial spirit and get ready to roll up your sleeves. This position is an essential part of the team and will have exposure to several aspects of running a banking office.
Job Summary:
As a Quant Analytics at JPMorgan Chase within the Consumer & Community Banking- Data and Analytics, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities

• Search for collections of behaviors and events that, while individually innocuous, collectively indicate a likely next action to enable timely and relevant outreach.
• Support and lead partnerships with key Operations stakeholders and Operations Product groups by thoroughly understanding business drivers, underlying data, and processes.
• Build business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to inform future customer strategies.
• Analyze customer interactions and events across various channels (calls, branch, online, mobile) to better understand customer journeys and identify friction points.
• Lead the development and reporting of Operations performance metrics and KPIs, using analytical tools and quantitative methods such as trend analysis, segmentation, forecasting, optimization, and other techniques to enhance business function performance.
• Create self-serve tools to provide real-time information to decision-makers. Demonstrate the ability to think both independently and collaboratively, implementing creative solutions that solve business problems while diligently focusing on details and maintaining alignment with broader business objectives.
• Recognize and articulate the stories within data, presenting them in ways that illuminate which customers are likely to take specific actions next.
• Summarize key information comfortably and present recommendations to multiple stakeholders, effectively influencing senior management.
• Communicate effectively with senior leaders to enable collaboration, facilitate decision-making, and ensure transparency.
• Mentor and coach a small group of 8-10 FTEs, driving and managing projects from start to finish. Make smart decisions that significantly impact both the business and its people. Solve business problems with the highest level of complexity. Demonstrate self-motivation and effectively coach the team to achieve consistent high performance.
• Assist the manager in identifying and onboarding talent from across the industry, mentor newer team members, and identify growth opportunities for existing team members.

Required qualifications, capabilities and skills:

• Bachelor's / Master's Degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field with 12+ years of data Analytics experience
• Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus
• Self-motivated, goal-oriented, and able to manage and deliver in an innovation-driven and fast-paced environment
• Should have a very good understanding of IT processes and databases. Should be able to work directly with data owners/custodians and contribute in building analytics data hub
• Leadership drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions
• Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus
• Superior judgment to mitigate risk, and to foster an environment where risk/control issues are escalated and trends are anticipated and identified
• Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts
• Experience delivering analytics solutions under strict timelines quick turn-around times
• Hands-on experience with standard data analytics tools and technologies ( at least four of SQL, Python, SAS, Tableau, Alteryx)
• Proven track record in solving business problems through fact-based and scientific analytics, like to focus on solving problems

Preferred qualifications, capabilities and skills:

• Previously worked in an insights function at a financial services firm or consulting firm supporting Financial firms.
• Have a strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies
• Are a lifelong learner and hold a growth mindset; we welcome individuals who geek out on industry podcasts, stay abreast of cutting edge techniques, and love to share what they are learning with the rest of the team
• Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
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.