The Data Analytics team at JPMorgan Corporate Investment Bank combines cutting edge machine learning techniques with the company’s unique data assets to optimize all the business decisions we make. In this role, you will be part of our world-class data analytics team, and advance the state-of-the-art in financial applications ranging from pricing and credit models to natural language processing to the various asset classes in the Corporate Investment Bank. Our work spans the Corporate Investment Bank’s lines of business, with exceptional opportunities in each.

The successful candidate will assess the business needs, define the problem statement and shape the data analytics deliverables. The job will require understanding of data analytics methods to banking applications including risk assessment, trading, client relationship management, and pricing models.


Identify and develop scalable applications in JP Morgan Corporate Investment Bank by line of business: Global Research, Global Investment Banking and Global Markets

Lead the creation of scalable machine learning and deep learning capabilities to solve real-world problems in areas such as Speech Recognition, Natural Language Processing and Time Series predictions

Structure and manage projects or programs (i.e., multiple related projects) to deliver the book of work, including creation of an effective roadmap towards the deployment of a production-level machine learning application

Partner and collaborate with Data Scientists, Machine Learning Engineers and Business Stakeholders in developing machine learning applications and capabilities


J. P. Morgan


BA and/or master’s degree (MBA, MS) from a top-rated academic institution

6-10 of relevant experience, including front office as a research analyst in Global Research, an investment banker in Global Investment Banking or trader/ salesperson Global Markets; relevant consulting experience also valued

Basic understanding of data analytics approaches such as supervised learning, unsupervised learning and reinforcement learning will be required.

Ability to take the various data analytics approaches and finding appropriate applications (e.g., aggregation and reporting, anomaly detection, prediction, natural language processing and auto decision making) will be required.

Should be able to work both individually and collaboratively across various teams in the front office, technology and operations, in order to achieve project goals.

Must have strong problem solving skills and be curious, hardworking and detail-oriented, and motivated by complex analytical problems and genuinely interested in data analytics

Must have strong written and oral presentation / communication skills to effectively convey complex concepts simply and clearly to both technical and business audiences

Well-structured and organized in project or program execution and management

Beneficial Skills

Background in Mathematics, Statistics or Financial Engineering a plus

Experience with big data technologies such as Hadoop, Spark, SparkML, etc. is a plus

Understanding of basic data table operations (SQL, Hive, etc.)
Seniority Level
Mid-Senior level

Employment Type

Job Functions
Product Management

Educational level:

Bachelor’s Degree

Level of experience (years):

Senior (5+ years of experience)

How to apply:

Please mention NLP People as a source when applying


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