Finance Decision Optimization Deposits - Quant Analytics Senior Associate

The Finance Decision Optimization team 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 Senior Associate, with the Deposits Area Product team, you will use multi-faceted analytics to support the end-to-end development deposit pricing model - a framework used to help support deposit pricing decision making. Job Responsibilities: Partner with the business modeling team to develop and refine statistical models, while continuously evaluating their performance and effectiveness. Validate that production results comply with business requirements and expected results. Leverage advanced analytics and predictive modeling to guide the deposit pricing team in identifying and executing optimal pricing strategies. Translate business demands to technical requirement documents and collaborate with technology teams. Work closely with end-users/data product owners during the UAT phase of and perform testing to ensure new functionality meets end user requirements. Take a leadership role and set strategic direction and thought leadership in support of the Area Product Owner Effectively manage multiple tasks and priorities in a fast-paced environment while maintaining responsiveness to ad-hoc requests. Required qualification, capabilities, and skills: Strong problem solver with excellent analytical, critical thinking, communication, organizational, and technical skills, with proven ability to collect, organize, and analyze significant amounts of information while maintaining attention to detail and accuracy. 3+ years of experience at a financial institution or consulting firm in one or a combination of the following areas: corporate finance, banking, treasury, data analytics, or quantitative modeling. Preference to those with experience dealing with large scale data projects. Proficiency in business analytics tools (SQL, SAS, Python, R) or programming languages to perform data analytics and drive business outcomes. Experience with Databricks, Streamlit, and AWS Cloud environments is preferred. Able to communicate effectively with a variety of technical peers including data engineering and quantitative modeling teams and ability to translate data into concise and actionable recommendations 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. #J-18808-Ljbffr JPMorgan Chase