Quant Analytics Associate

2 months ago

Bengaluru, India JPMorgan Chase & Co. Full time

We are responsible for validating all customer facing assets like microsites, emails, mobile apps etc. for content and functionality with a very strong emphasis on end user experience from a customer perspective. We take a lot of pride in delivering quality customer experience through all the marketing assets we touch and which get deployed in the market.

As a Quantitative Analytics Associate at JP Morgan Chase within the Pricing Analytics Team, you will analyze portfolio pricing strategies and new company initiatives while having the unique and challenging opportunity to influence critical initiatives, including customer corrections and portfolio growth initiatives, to grow customer engagement across all credit card portfolios within Chase. This position sits within the Marketing Growth and Innovation (MG&I) organization of Card Services, a key business within Chase’s Consumer & Community Banking group

Job Responsibilities:

Conduct extensive analysis of pricing functionality and settings as well as customer behavior to improve existing pricing related strategies and policies using advanced research, programming, and quantitative techniques.  Establish test/control groups, in-order to perform predictive modeling for new pricing Change in Terms, Behavioral pricing and Rate Reduction campaign initiatives.  Own and support strategic pricing initiatives. Key responsibilities will include: evaluate effectiveness and perform profit & loss analysis, which seeks to quantify both statistical and practical significance. Solve unstructured business problems and develop deep dive analysis of customer behavior using multiple analytics and statistical techniques.  Synthesize large amounts of data from various data sources into actionable insights; present analyses and recommendations to senior management which leads to changes in current business strategy.  Prepare data analysis for ad-hoc requests and solving complex pricing related corrections and system defects

Required qualifications, capabilities and skills:

Bachelor's degree and 4+ years in a quantitative discipline (ex. Statistics, Data Science/Analytics, Applied Economics, Mathematics, Finance, Management Information Systems, or related field of study) Working knowledge of big data technologies and applications (Teradata, Oracle, Hadoop, Practical experience in data querying, data processing, data mining, and information retrieval tasks Solid programming skills of SAS, SQL, Python in a UNIX environment; hands-on experience in Microsoft Office (Word, Excel, PowerPoint, Pivot Tables) Candidate must be able to lead, multitask, thrive in a fast-paced environment managing multiple ad-hoc analytical requests and prioritize work accordingly.  Attention to detail is a must.  Have strong verbal and written communication skills and be results-oriented with a strong attention to detail Understand the key Profit & Loss drivers for pricing related initiatives

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