Quant Analytics Associate Sr - Corrections Analytics
JPMorgan Chase
Bangalore, Karnataka
Permanent
Full-time
16 days ago
Correction analytics team deals with break across Chase bank relating to product as Credit Cards, Consumer and Business banking, Auto Finance and Merchant services. This role requires extensive interaction with business stakeholders, Project Managers and Business analyst. The candidate has to possess strong problem solving and reasoning skills as the business problem sometimes is not clear or very straight forward. In-depth understanding of banking product is good to have. The role will offer you an opportunity to dig deeper and enhance your banking product understanding and knowledge about day to day working knowledge of sub-products of the same like, Credit card pricing strategy, Credit card acquisition process, ATM process, Business lending product, Auto lending etc. These breaks can present complex, multilayered, and data intensive business problems. Typically these problems will be of an unstructured nature, whereby the analyst will be expected to quickly assess and comprehend the situation, and develop a practical approach/strategy to the analysis. As a Senior Quant Analytics Associate, your activities include (but are not be limited to), identifying impacted populations based on defined Business problem, calculating often complex financial impact. Financial impact are the amount which the customer should not have been charged or the customer should have received from chase. Should be able to follow the process of recalculating interest charges over a period time, recalculating total refund amount (Refund +Interest) based on exclusion of specific charges, and determining if fees applied would not have otherwise been billed. Job Responsibilities: Synthesize data into actionable insights and effectively communicate to key stakeholders. Query databases and identify correction population through exploratory data analysis, estimate financials, and create execution files to remediate the identified population + Use SAS to automate repetitive analytics steps Develop deep knowledge of the processes and data structure involved with each functional area. Drill into requirements to ensure clarity in representing them while coding for the analytical study work closely with stakeholders Engage in evergreen certification, project/people mentorship, lead projects end to end and continuously develop skills to provide best-in-class analytics Required qualifications, capabilities, and skills: Expertise and practical hands on work experience in SQL and SAS Must be detailed and quality assurance oriented Must possess strong process adherence discipline Throughout the life cycle of a project, specific process control procedures anddocumentation must be followed and completed by the DA. Must possess good verbal and written communication skills, with experience in partner and conflict management. Proficiency with standard MS Office tools (Excel, Word, etc.). Consciously create aworkplace culturethat is consistent with the overall organizations and that emphasizes the identified mission,vision, guiding principles, andvaluesof the organization Plan and allocate resources to effectively staff and accomplish the work to meet departmental productivity and quality goals. Plan, evaluate, and improve the efficiency of business processes and procedures to enhance speed, quality, efficiency, and output. Minimum of a Bachelor's degree or equivalent in business or Master's degree in any of the Quantitative disciplines is preferred. A minimum of 8+ years of relevant experience in Financial Services. A minimum of four years of responsible leadership experience in management or supervisory positions Preferred qualifications, capabilities, and skills: Understanding on banking product. Lead employees using aperformance managementand development process that provides an overall context and framework to encourage employee contribution and includes goal setting, feedback, and performance development planning. Lead employees to meet the organization's expectations for productivity, quality, continuous improvement, and goal accomplishment. Provideeffective performance feedback through employee recognition, rewards, anddisciplinary action, with the assistance of Human Resources, when necessary. Maintain employee work schedules including assignments,job rotation, training, vacations, and paid time off, telecommuting, cover forabsenteeism, and overtime scheduling Specialized training in managinghuman resources, preferred.
