Job Description
We're driven by curiosity, passion, optimism, and the belief that everybody can grow.
You should be an exceptional communicator who is eager to learn, endlessly curious, takes pride in hard work and is committed to rapidly advancing his/her career. Additionally, it would be ideal if the Data Scientist has in depth understanding of the mortgage industry.
As a Data Scientist Senior Associate you should have an ability to understand data relationships, can design efficient data models, and take initiative and ownership of data driven tasks. Additionally, you are an expert on the data model within the context of the technical environment and will design a model to leverage the strengths of the technical environment.
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
• Understand and translate business needs into data models supporting long-term solutions
• Create data models using best practices to ensure high data quality and reduced redundancy
• Think critically about headwinds facing the business and explore opportunities for analytics
• Partner with key Stakeholders and Business to ensure their foundational data needs are being addressed.
• Evaluate data models and physical databases for variances and discrepancies.
• 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

Required Skills, qualifications and capabilities

• Ability to deliver high-quality results under tight deadlines
• Technical knowledge of data infrastructure practices and tools
• Expert understanding of data structure and strong SQL - experience building stored procedures and troubleshooting data quality issues
• Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise
• Intermediate knowledge of Machine Learning
• Proven excellence at formulating, understanding, and solving complex, non-routine quantitative problems
• Aptitude for learning new theory and new technology
• Experience working with one or more of Hadoop, Teradata, Oracle, Microsoft SQL DBs and intermediate knowledge of AWS cloud solutions (S3, RDS, Athena, Aurora).
• Experience with reporting technologies like RedShift, Tableau, SSRS, Cognos a plus.
• Masters Degree in Computer Science, Mathematics / Statistics, Economics.
• 5+ years of data and analytics, functional industry experience in operations, marketing, credit/risk, technology, or finance

Preferred Skills, qualifications and capabilities

• 3 + years mortgage experience preferred

***Hybrid work schedule, no relocation support is offered for this role***
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. For those in eligible roles, discretionary incentive compensation which may be 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.