Machine Learning Risk Modeling - Bengaluru, India - JPMorgan Chase Bank, N.A.
Description
You are a strategic thinker, passionate about driving data and modeling insights You have found the right team.
In this Auto Risk Modeling Team you would be responsible on the innovation and use of traditional as well as machine learning modeling to identify new opportunities for revenue growth and risk mitigation in the Auto business.
If you are intellectually curious and have a passion for driving solutions across organizational boundaries, you may be the perfect fit for our team.
Responsibilities:
- Design and develop models to create impactful decisions for the Auto business throughout the customer lifecycle (e.g., acquisition, pricing, collection, and recovery)
- Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production
- Collaborate with various partners in marketing, risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models)
Required Qualifications, Skills and Capabilities
- Ph.
- Demonstrated experience in designing, building, and deploying production quality models
- At least 3+ year of experience and proficiency in coding (e.g., SAS, Python, Tensorflow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive)
Preferred Qualifications, Skills and Capabilities,
- Experience in interpreting machine learning models is a plus
- Strong ownership and execution; proven experience in taking models to production
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.
Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
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