Finance Decision Optimization - Quant Analytics Associate

The Finance Decision Optimization team (FDO) is a group of product, analytics, and engineering experts who support the development of forecasting models used to drive strategic decisions across CCB Finance. As a Quant Analytics Associate, within the Deposits Area Product team, you will use multifaceted analytics to support the end-to-end development of a suite of deposit models that support pricing, treasury, and finance functions. Job Responsibilities: Drive business outcomes and decision-making through data and analytics, leveraging a data warehouse to inform modeling approaches, understand customer behavior, and perform sensitivity analyses. Develop comprehensive knowledge of supported business units to deliver pragmatic and effective solutions. Translate business demands into technical requirements documents and collaborate with technology teams. Work closely with end users and data product owners during the UAT phase, and perform testing to ensure new functionality meets end-user requirements. Partner with the business modeling team to develop and refine statistical models, while continuously evaluating performance and effectiveness. Validate that production results comply with business requirements and expected outcomes. Translate business requirements into prototype solutions for new requests and enhancements. Effectively manage multiple tasks and priorities in a fast-paced environment while remaining responsive to ad hoc requests. Required qualifications, capabilities, and skills: Strong problem solver with excellent analytical, critical thinking, communication, organizational, and technical skills; proven ability to collect, organize, and analyze significant amounts of information while maintaining attention to detail and accuracy. 2+ years of experience at a financial institution or consulting firm in one or more of the following areas: corporate finance, banking, treasury, data analytics, or quantitative modeling. Proficiency in business analytics tools (e.g., SQL, SAS, Python, R) and/or programming languages used to perform data analytics and drive business outcomes. Ability to communicate effectively with a variety of technical peers (including data engineering and quantitative modeling teams) and to translate data into concise, actionable recommendations. Preferred Qualifications: Experience with large-scale data projects is preferred. Experience with Databricks, Streamlit, and AWS cloud environments is preferred. 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. Equal Opportunity Employer/Disability/Veterans #J-18808-Ljbffr JPMorgan Chase