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03/09 Lavneeta Tandon
HR at JP Morgan Services

Views:1025 Applications:211 Rec. Actions:Recruiter Actions:45

JPMorgan Chase - Associate - Data Science/Data Scientist - Strategic Analytics (6-12 yrs)

Bangalore Job Code: 845428

Data Scientist - Associate, Strategic Analytics

The Consumer and Community Banking Risk Analytics department brings together data scientists, engineers, and analytics professionals to solve some of the firm's most complex quantitative challenges in consumer risk management. The Data Scientist will design, execute, and interpret statistical analyses using a vast quantity of data to drive insights and strategy. This role requires an individual to leverage creative analytical problem solving skills while efficiently using large data sets from a broad range of sources. In addition to top-tier analytical capabilities, the desired candidate should have strong programming skills coupled with excellent written and oral communication.

Responsibilities Include:

- Use modern data science and classical statistical techniques (AUC, correlation analysis, clustering analysis, hypothesis testing) to draw coherent conclusions about business data

- Write computer programming code in R, SAS, Python, and/or Scala to perform statistical analyses and develop machine learning solutions to business problems

- Query enterprise databases using SQL to obtain relevant data for analysis

- Effectively reshape data to run efficiently on advanced analytics platforms including Hadoop using Spark

- Translate classical statistical methods written in SAS, R, and Python into code that can execute using Spark

- Write summary documentation of analyses performed for both technical and non-technical audiences within the firm

- Present results to peers and higher levels of management

- Share advanced machine learning and execution knowledge with team members as new techniques are discovered to solve analytical problems

Qualifications:

- Master's or PhD in Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Social Sciences, Mathematics, Computer Science, Information Science, or related disciplines.

- 6+ years of experience operating as an analytics professional (e.g. data scientist, statistician, and related professions)

- Strong technical skills; Python is required; Experience with SAS, R, Spark and Scala is also preferred

- Ability to design, execute and interpret statistical analyses to drive insights and strategy

- Experience in the development of statistical and machine learning models (e.g. logistic regression, random forests, gradient boosting, neural networks)

- Experience in developing credit models and/or analytics to support credit strategy

- Leverage creative analytical problem solving skills while using large data sets from a broad range of sources

Women-friendly workplace:

Maternity and Paternity Benefits

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