Company Name:-
JPMorgan Chase Bank, N.A.

Job Location:-
Mumbai, Maharashtra

Job Summary:-
Collaborate with Operations teams to formulate relevant financial and business questions that can be answered by data analysis.

Research and analyze data sets using a variety of statistical and machine learning techniques
Communicate final results and give context.

Document approach and techniques used.

Work on longer term projects, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases.

Collaborate with other JP Morgan machine learning teams.

Required Technical Qualifications and experience
4-7 years of relevant experience.

MS or PhD in a quantitative discipline, e.

g.

Computer Science, Mathematics, Statistics, Operations Research, Data Science, or similar BS with experience in a highly quantitative position.

Hands-on experience analyzing data.

Strong ability to develop and debug in Python or similar professional programming language.

Problem solving and collaboration skills
Nice to Have
Experience with natural language processing (NLP).

Ideally, some experience with machine learning APIs and computational packages (examples: TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).

Experience with big-data technologies such as Hadoop, Spark, SparkML, etc.

Should be able to work both individually and collaboratively in teams, in order to achieve project goals.

Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems.

Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals.

Must be able to independently research and propose alternatives with some guidance as to problem relevance.

Must be able to undertake basic

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