JPMorgan Quant Analytics Associate 

India, Karnataka, Bengaluru 

183004589

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, etc.)
• 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