Quant Analytics Vice President - Home Lending

Job Description
We're driven by curiosity, passion, optimism, and the belief that everybody can grow.
As a Quantitative Analyst Vice President part of the Home Lending line of business you have an exceptional ability to understand data relationships, can design data visual tools, and take initiative and ownership of data driven tasks. You understand the data model within the context of the technical environment and will design an environment to leverage the strengths of the technical environment. You are an excellent communicator who is eager to learn, endlessly curious, takes pride in hard work and can see a concept through from discovery to production.
Job Responsibilities:

• Perform data discovery work to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources to help develop various types of data-driven Home Lending products/initiatives.
• Build algorithms to make joining datasets without unique keys possible
• Think critically about headwinds facing the business and explore opportunities for analytics
• Partner with business to provide insightful analytics to improve processes
• Collaborate with team members, both to build out specific projects and to continuously teach and learn new technology and techniques
• Work independently with minimal supervision but high accountability
• Lead a team to reach department goals
• Develop a high performing team

Required qualifications, skills and capabilities

• Master's Degree in Computer Science, Mathematics / Statistics, Economics.
• 5+ years of data and analytics experience
• Functional industry experience in operations, marketing, credit/risk, technology, or finance
• Must have ability to deliver high-quality results under tight deadlines
• Technical knowledge of data infrastructure practices and tools
• Strong understand of data structure and strong SQL - experience building stored procedures and troubleshooting data quality issues
• Intermediate knowledge and experience using - Alteryx, SAS, and Python
• Experience working with Hadoop, Teradata, Oracle and Microsoft SQL DBs
• Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise
• Experience with reporting technologies like Tableau, SSRS, Cognos a plus
• Intermediate knowledge of Machine Learning
• Proven excellence at formulating, understanding, and solving complex, non-routine quantitative problems

Preferred qualifications, skills and capabilities

• 3 + Years mortgage experience preferred

***relocation support is not offered for this role. Hybrid schedule - 3 days in office.***
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.