Predictive Science

Job Description
DESCRIPTION:
Duties: Conduct end-to-end research such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications, communicating the significance of research, and deploying the models following all relevant processes and governance. Anticipate and consider risks when building machine learning solutions and prediction/classification systems. Build and train production grade ML models on large-scale datasets to solve various business use cases for the firm. Develop quantitative and machine learning models for market analytics. Develop methodologies for AI/ML model explainability. Assist first line of defense in analytical investigations. Develop algorithms to support market controls and compliance. Analyze trading data, patterns, and trends to detect potential market anomalies. Work with Market technology to identify and investigate data gaps and curate datasets for modeling. Drive complex projects that require cross- organizational alignment and collaboration.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Financial Engineering, Quantitative Finance, Statistics, Data Science, Applied Math, Computer Science, Econometrics or related field of study plus 5 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, Data Scientist Lead/VP, Sr Quantitative Analyst, Sr Bond Analytics Analyst, Financial Research Analyst, Financial Product Development Associate, or related occupation. The employer will alternatively accept a PhD in Financial Engineering, Quantitative Finance, Statistics, Data Science, Applied Math, Computer Science, Econometrics, or related field of study plus 3 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, Data Scientist Lead/VP, Sr Quantitative Analyst, Sr Bond Analytics Analyst, Financial Research Analyst, Financial Product Development Associate, or related occupation.
Skills Required: Requires three (3) years of experience with the following: Python; PySpark; Deep Learning; Machine Learning; Time Series Analysis and Forecasting; Statistics; one (1) of the following financial products: equities, bonds, or commodities. Requires two (2) years of experience with the following: SQL; KDB; Network Analysis; one (1) of the following Quantitative Methods in Finance: Probabilistic modeling or Liquidity profiling; Reinforcement Learning; Optimization methods. Requires one (1) year of experience with NLP.
Job Location: 3223 Hanover St., Palo Alto, CA 94304. Telecommuting permitted up to 40% of the week.
Full-Time. Salary: $215,943.00-$260,000.00 per year.
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.