Associate, Data Analytics, Commercial & Investment Bank, Tech Strategy and at JPMC Candidate Experience page

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

125000.0

Posted On

28 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Spark, Databricks, Tableau, Sigma, Qlikview, Excel Data Modelling, SDLC, Data Engineering, Data Visualization, Quantitative Problem Solving

Industry

Financial Services

Description

JPMorgan Chase’s Commercial & Investment Bank (CIB) is seeking an Associate on our AI for Tech initiative. Our firm, and CIB in particular, is investing heavily into AI tooling and adoption in the software engineering lifecycle. You will design, build, and produce analysis to quantify our software engineering throughput, understand its business outcomes, and the contribution of GenAI to these outcomes. This product will directly support our culture change efforts for AI usage by software engineers. This analysis will help guide our efforts to drive cultural transformation through data driven evidence and insights. As a Strategy Associate in our CIB Tech Strategy and Execution team, you will have a hands-on builder role operating at the intersection of strategy, engineering, and data. You will own core parts of the data foundation while working iteratively to turn ambiguous questions into scalable data and insight. In addition to measurement work, you will have the flexibility to support other AI for Tech strategic priorities as business needs evolve. This role requires a mix of quantitative problem solving, data engineering skills, and analytical curiosity to use data to shape organizational change management. Your analytical insights and outputs will be consumed by the most senior leaders of CIB’s technology organization. Job Responsibilities: * Build and maintain scalable data ingestion and transformation pipelines that connect source engineering systems into an analytical foundation * Design and evolve the engineering measurement data model, ensuring it accurately reflects how software is delivered across teams * Drive improvements in data quality, consistency, and definition alignment across multiple engineering data sources * Develop metrics and analyses from data, pressure-testing them with engineers to ensure measurement reflects real delivery behavior * Translate requirements into concrete analytical deliverables that can be iterated quickly as leadership priorities evolve * Engage technology and business stakeholders across Markets, Payments, Security Services, and Global Banking to ensure measurement outputs reflect the needs of different customer groups * Partner closely with engineers, data scientists, and central global technology teams * Support vendor strategy decisions Required Qualifications, Capabilities, and Skills: * Bachelor’s or Master’s degree in a quantitative or technical field (e.g. Computer Science, Data Science, Mathematics, Statistics) * Extensive hands-on experience with Python, SQL, Spark, Databricks building and maintaining data ingestion and transformation pipelines * Experience with data visualization tools such as Tableau, Sigma, Qlikview * Strong Excel data modelling skills * Fluency in software engineering and domain understanding of the software development lifecycle (SDLC) * Strong problem-solving skills to work from ambiguous open-ended questions, and communicate clearly to senior stakeholders Preferred Qualifications, Capabilities, and Skills: * Preferred background in data analytics / engineering within a strategy or consulting context JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities

Build and maintain scalable data pipelines to quantify software engineering throughput and the impact of GenAI. Translate complex data into insights to guide cultural transformation and support senior leadership in the CIB technology organization.