- The Risk Modeling Team is a center of excellence within CCB Risk. We focus on the innovation and use of advanced machine learning modeling including deep learning to develop models that are used in day to day credit risk assessment, and fraud prevention. We are looking for candidates with demonstrated expertise in machine learning to join our talented team. - The candidate will be responsible for end-to-end machine learning model design and development. Success in this role requires a strong foundation in machine learning, coupled with experience in big data and distributed computing. In this highly visible role, the successful candidate will be able to think like an analytic leader with business acumen, collaborate in a team environment, and communicate results effectively to senior management. Risk Modeling - Machine Learning Data Scientist (Associate) - Design and develop machine learning models to drive impactful decisions for the consumer checking and card business throughout the customer lifecycle (e.g., acquisition, account management, transaction authorization, collection) - Utilize cutting-edge machine learning approaches, and construct sophisticated machine learning models including deep learning architecture on big data platforms - 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) Basic Qualifications - Ph.D. or Master's degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering - Demonstrated experience in designing, building, and deploying production quality machine learning models - Deep understanding of machine learning algorithms (e.g., regressions, XGBoost, CNN, RNN) as well as design and tuning - At least 6 year of experience and proficiency in coding (e.g., Python, Tensorflow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive) Preferred Qualifications - Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is desired - Experience in interpreting deep learning models is a plus - Strong ownership and execution; proven experience in taking models to production JPMorgan Chase &amp; 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. Morgan and Chase brands. 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 are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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. The Apply Button will redirect you to website. Please apply there as well

Bangalore

 JP Morgan Chase - Associate - Risk/Quantitative Modeling/Machine Learning/Data Scientist - CCB 

 JP Morgan Chase - Associate - Risk/Quantitative Modeling/Machine Learning/Data Scientist - CCB  ,Job Description for  JP Morgan Chase - Associate - Risk/Quantitative Modeling/Machine Learning/Data Scientist - CCB  in JP Morgan Chase in  Bangalore for (6-10) years of experience. Apply Now!

Job Description for  JP Morgan Chase - Associate - Risk/Quantitative Modeling/Machine Learning/Data Scientist - CCB  in JP Morgan Chase in  Bangalore for (6-10) years of experience. Apply Now!