Vice President Data Scientist Lead - Home Lending
FL, United States
JPMorgan Chase & Co.
Want to take your career to the next level working with amazing people around the world?
As a Data Scientist Vice President you will have to understand data relationships, can design efficient data models, and take initiative and ownership of data driven tasks. Additionally, you will understand the data model within the context of the technical environment and will design a model to leverage the strengths of the technical environment. You should be a strong 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.
Job Responsibilities:
- Collaborate with Product and Data Owners, Technology and Design Partners to advance integrity and capabilities of Home Lending data-ecosystem.
- Understand and translate business needs into tangible, technical tasks to support long-term strategic objectives.
- End-to-end curation, management, and go-to-market strategy of Data Products to best serve client needs.
- Manage and execute the full product development lifecycle to develop and bring to market, unique value-added proprietary content derived from J.P. Morgan and/or third-party sources.
- Provide oversight and track initiatives to completion, clearly articulate progress, and risks to Stakeholders.
- Develop extensive subject matter expertise by working closely alongside Line of Business staff while developing data products to be able to provide high-value-added customer support and resolve customer inquiries related to underlying data.
- Collaborate with team members, both to build out specific projects and to continuously teach and learn new technology and techniques.
- 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.
- Provide recommendations on suitable data solutions, structures and / or processes in clear, concise terms to both technical development teams and non-technical Stakeholders.
- Curious and able to work independently, with minimal supervision but high accountability and drive for results.
Required qualifications, skills and capabilities:
- Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise.
- Concepts of Data Engineering – Data warehousing, Indexing, ETL, Dimensions and Schemas
- Good understand of data structures, SQL, DDL and DML
- Knowledge of data manipulation tools / languages like Alteryx, SAS, Python.
- Experience working with one or more of Hadoop, Teradata, Oracle, Microsoft SQL DBs and beginner/intermediate knowledge of AWS cloud solutions (S3, RDS, Athena, Aurora).
- Experience with reporting technologies like AWS Redshift, Tableau, SSRS, PowerBI is a plus.
- Must possess willingness and ability to learn and apply new skills and knowledge on a continuous basis.
- Comfortable with Agile methodology and / or similar Project Development Methodologies, project management techniques and practices.
- Must have ability to deliver high-quality results under tight deadlines.
- Masters Degree in Computer Science, Information Systems, Mathematics / Statistics, or Economics. 5+ years in data and analytics, or related experience.
Preferred Qualifications, Capabilities, and Skills:
- 3+ years mortgage experience preferred.
- Intermediate knowledge of Machine Learning Models is preferred.
- Experience in Mortgage Banking or working with CRM data.
- Knowledge of Amazon Web Services (AWS) cloud resources
- Comfortable writing product technical specifications for product development
- Solid critical thinking, attention to detail and analytical skills; able to synthesize large amounts of financial instruments and formulate appropriate conclusions.
- Comfortable communicating with technical and non-technical audiences through written and verbal communication.
***Hybrid work schedule. No relocation support is offered for this role***
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Athena AWS Banking Computer Science Data Warehousing DDL Economics Engineering ETL Hadoop Machine Learning Mathematics ML models Oracle Power BI Python Redshift SAS SQL Statistics Tableau Teradata
Perks/benefits: Career development Competitive pay Health care Relocation support Wellness
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