&nbsp;Primary responsibilities include but are not limited to: - This position will primarily focus on creating advanced analytical solutions that drive business growth, mitigate risk and minimize operational loss for Chase Auto Finance business. Joining Chase Data &amp; Analytics means you sit in the engine that powers Chase with insights, providing an opportunity to materially impact both our customer and business outcomes.&nbsp; - The associate will be part of a team that will work with various partners including data domain owners, central modeling team as well as Risk and Finance teams to develop and execute actionable analytical solutions which leverage Big Data and associated tools. - Chase Auto Analytics Associate will be part of Analytics &amp; Execution team, focused on deepening/segmenting our existing customer base, understanding behavior attributes and interactions across products, OEM partners and dealership. We will use these insights to deliver personalized experiences to our clients and improve business outcomes. Analytics solutions to be implemented across the business stakeholders which includes Marketing, Partner, Dealer, Product and Servicing &amp; Collection teams. Specific primary responsibilities include: - Evaluate the current operational environment and identify opportunities to leverage advanced analytics. - Helping internal clients define their business problem, understand root causes and scope analytical solutions to address it - Building an in-depth understanding of the problem domain and available data assets - Researching, designing, implementing, and evaluate analytical approaches and models - Taking initiative in evaluating and adapting new approaches from data analytics perspective - Performing ad-hoc exploratory statistics and data mining tasks on diverse datasets from small scale to Big Data - Investigating data visualization and summarization techniques for conveying key findings - Communicating findings and obstacles to stakeholders to help drive the delivery to market - Develop executive ready presentations to summarize and communicate key messages to senior management sponsors and colleagues. - Collaborating across teams to deliver the best solution for client, working with a wide range of internal resources to integrate solutions into day-to-day processes - Using your knowledge and technical skills to help uncover novel use cases of Big Data analytics that can be deployed at scale across the business Required Qualifications: - Exceptional analytical, quantitative, problem solving, and communication skills - 7+ years working experience in Business/Data Analytic, Statistics, Predictive Modelling, Data Mining, NLP, Data Visualization and Big Data environments. - Applied work experience in statistical modelling (cross-sectional, panel, time series, parametric and non- parametric) and/or in Machine Learning ( with a good understanding of key supervised and unsupervised methods) - Solid working knowledge of some of the following statistical software packages: Python, R etc. - Solid working knowledge of SQL and relational databases (Teradata, Oracle etc.) - Experience in practical data processing, data mining, text mining and information retrieval tasks - Experience with Big Data technologies &amp; their applications including Hadoop, Hive, Trifacta, Alteryx etc. Hands on experience with visualization tools such as Tableau and Qlikview. - Excellent leadership, consultative partnering and collaboration across teams - Self-starter and demonstrated strong work ethic. - Prior experience in collection strategy, loss forecasting, marketing, portfolio performance analysis, risk management working in US Auto Finance (Loan and/or Lease) industry would be a preference. - Strong written and verbal communication skills. - Must possess the ability to work and research/resolve issues independently while sharing best practices and knowledge with colleagues - Collaborate with management and staff in the development and implementation of all projects and/or initiatives related to operational goals and/or process improvement directives - Ability to understand business needs, diagnose performance issues, and develop recommendations through combination of data analysis and business critical thinking - Able to organize/manage multiple priorities and projects coupled with the flexibility to quickly adapt to ever changing business priorities and perform well under pressure - Assure the integrity of data, through extraction, manipulation, processing, analysis and reporting. - Detail oriented coupled with the ability to show initiative, good judgment, and resourcefulness Additional Skills are a Plus - Experience with big data transformation and wrangling tools and languages such as Alteryx, Trifacta, Spark, Scala, etc.) - Knowledge of Chase Auto Finance systems (ALA, ACAPS, CALS) - In-depth knowledge of consumer and wholesale banking data - Prior experience in the retail financial services industry is a plus Educational Requirement: - The candidate must have an educational background in Accounting, Finance, Business Administration, Statistics, Mathematics, Computer Science, or a related discipline. In addition, the candidate must have a minimum of a Bachelor's degree with 6+ years of experience or a Master's degree with 5+ years of experience Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. The Apply Button will redirect you to website. Please apply there as well

Bangalore

 JP Morgan Chase -  Associate/Senior Associate  - Quant Analytics 

 JP Morgan Chase -  Associate/Senior Associate  - Quant Analytics  ,Job Description for  JP Morgan Chase -  Associate/Senior Associate  - Quant Analytics  in JP Morgan Chase in  Bangalore for (7-11) years of experience. Apply Now!

Job Description for  JP Morgan Chase -  Associate/Senior Associate  - Quant Analytics  in JP Morgan Chase in  Bangalore for (7-11) years of experience. Apply Now!