Data Scientist Associate at JPMorgan Chase Bank, N.A. in Plano, Texas

Job Description:

This Associate position will be part of the Small Business Bionics team, within our Small Business Decision Sciences team.

Data is our competitive advantage, and the Bionics team is all about giving the superpower of data to our bankers, clients and executives, and change the way decisions are made. If you have a startup mindset, and truly believe in the power of data and AI, this role is for you.

The successful candidate will be a Data Scientist and an AI evangelist with an ability to find AI/ML applications that make a difference, will help us power bankers' decision making.

Primary responsibilities

Develop AI/ML models that make a difference

• Train AI/ML algorithms to identify opportunities in better serving our clients
• Find opportunities where AI/ML adds the most value to decision-making
• Identify the required means to develop and scale AI/ML models
• Design and prototype AI/ML engines and showcase capability
• Create interfaces and tools for Decision Makers to use algorithms efficiently
• Evaluate data models and physical databases for variances and discrepancies
• Establish roadmap prioritize and roll out models, ensure timely delivery and escalate when necessary
• Design and implement controls (e.g. for model bias and inaccuracy, data quality) allowing models to be tested and audited

Partner with modeling teams to build and productionalize AI/ML tools

• Align with and supervise modeling teams in model development efforts
• Partner with our data architecture teams and co-design data pipelines
• Test developed models to use cases in Bionics programs, and measure impact
• Partner with Risk, Controls and Compliance to ensure soundness and compliance with firm-wide model governance
• Think critically about headwinds facing the business and explore opportunities for analytics
• Participate in the research lifecycle beginning with problem discovery, gathering data, designing solutions and with a focus on building prototype applications and migrating them to robust production

Coach and develop your skills, build expertise within Chase Small Business Banking

• Bring and build expertise AI and Machine Learning within the team
• Conduct research and development with emerging technologies, determine their applicability to business use cases, document and communicate their recommended use
• Act as a SME in AI/ML within Small Business Banking and beyond, create frameworks for common topics

Qualifications

Background:

• Degree in a scientific field (Mathematics, Physics, Computer Science, Engineering, etc.)
• Minimum 2 years of advanced analytics experience in Financial Services
• Track record of developing ML and statistical models for innovative solutions at scale, including controls, documentation and liaison with Risk, Controls and Compliance

Skills:

• Machine learning algorithms including deep learning (CNN, NLQ, NLP), time series forecasting, statistical analysis
• Deep understanding of model limitations and risks associated, e.g. ability to test for model bias
• Expertise in Python, PySpark, or Scala
• Practical experience with ML platforms such as Scikit-learn, Tensorflow, Keras, PyTorch
• Strong understanding of data structure and SQL skills (experience building stored procedures and troubleshooting data quality issues)
• Knowledge of version control tools and processes (e.g. Subversion, Git)

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 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

Equal Opportunity Employer/Disability/Veterans

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