Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Data Scientist within our innovative team, you will be tasked with devising and developing Proofs of Concept (POCs) and deployable models using AI/ML techniques, algorithms and other statistical and numerical methods. You will also be responsible for extracting and working with large volumes of data (both structured and unstructured) from multiple sources, transforming it into an analysis-ready format to develop the data pipeline. Additionally, you will be expected to independently formulate methodologies, and quantitative and analytical tasks, from business problems.
Job Responsibilities:
- Analyze complex/unstructured data to understand the business problem and use case
- Analyze business requirements, design, and develop appropriate methodology; And develop deployable, scalable and effective models/ analytical methods as part of technology managed system or as a self-served application of a business user
- Work collaboratively and creatively with other data scientists, technology partners, risk professionals, model validation teams, etc.
- Prepare technical documentation of quantitative models for internal model risk and governance review
Required qualifications, capabilities, and skills
- 2+ years of related experience in Python, R or Scala with Bachelor of Science degree in Computer Science, Physical Sciences, Econometrics, Statistics, or other any quantitative discipline.
- Demonstrable theoretical and application knowledge of Machine Learning methods, and/or Statistical Models
- Demonstrable hands-on experience and familiarity with LLM prompt engineering and agentic solution development.
- Demonstrable hands-on experience and familiarity with the following packages, algorithms, and/or alternatives, including ML Packages (Pandas, Scikit-Learn, XGBoost, catboost, lightgbm, automl, Optuna, Hyperopt), Visualization Packages (Matplotlib, Seaborn, Geopandas), Algorithm (Louvain / Hierarchical Clustering, Label Propagation, Connected Component Analysis, Graph Neural net (Graph Attention Network), Page Rank, Centrality Analysis, Tree based Analysis, Outlier Detection Methods, Zero Shot/ Few Shot learning)
- Hands-on professional experience in software development especially with analytical & computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.)
- Experience in developing and operationalization of data pipelines
- Experience with process, controls and governance of a highly regulated environment
- Experience of data mining and visualization tools including Tableau, Alteryx, Qlik for generating user interface of business solutions; Assimilating large amounts of data from multiple databases and utilize them for creating actionable outcome; Adhering to a standardized analysis and project methodology; and Documenting quantitative analysis
Preferred qualifications, capabilities, and skills
- Post graduate degrees such as Master’s Degree, PhD, etc. is preferred
- Working knowledge of C/C#/C++ or others is a plus
- Real life exposure to Agile SDLC, ModelOps and /Or Design Thinking is desirable.
- Familiarity with Natural Language Processing techniques is a plus
- Experience with Large Language Models and Suites is a plus
- Familiarity with graph-based learning and graph Database like, TigerGraph, Neo4j is a plus
- A self-starter and strong influencing skills with strong communication skills
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, paid in the form of cash and/or forfeitable equity, 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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- 2+ years experience with Python, R or Scala and a quantitative Bachelor's degree
- Theoretical and applied knowledge of machine learning methods and statistical models
- Hands-on experience with LLM prompt engineering and agentic solution development
- Hands-on experience with ML packages: Pandas, Scikit-Learn, XGBoost, CatBoost, LightGBM, AutoML, Optuna, Hyperopt
- Experience with visualization packages: Matplotlib, Seaborn, GeoPandas
- Familiarity with graph algorithms and methods: Louvain, Hierarchical Clustering, Label Propagation, Connected Component Analysis, PageRank, Centrality Analysis, Tree-based Analysis, Outlier Detection, Zero-shot/Few-shot learning, Graph Neural Networks (Graph Attention Network)
- Professional software development experience for analytical and computationally intensive systems and cloud-based digital transformations (AWS, GCP, Azure, Databricks)
- Experience developing and operationalizing data pipelines
- Experience with process, controls and governance in a highly regulated environment
- Experience with data mining and visualization tools including Tableau, Alteryx, Qlik; documenting quantitative analysis
- Post-graduate degree such as Master's or PhD
- Working knowledge of C, C#, or C++
- Experience with Agile SDLC, ModelOps, or Design Thinking
- Familiarity with NLP techniques
- Experience with Large Language Models and suites
- Familiarity with graph databases such as TigerGraph or Neo4j
- Strong communication, self-starter and influencing skills
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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