Risk - Consumer & Community Banking - Business Banking Quantitative Modeling - Vice President About the Team: - Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We- re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction. - Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment. - 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 (VP) - Design and develop machine learning models to drive impactful decisions for the Business Banking business throughout the customer lifecycle (e.g., acquisition, account management, collection and recovery) - 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) - Lead a team with junior and senior data scientists Basic Qualifications: - 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 traditional models, such as logistics regression models - 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 8 years of experience and proficiency in coding and modeling - At least 5 years of people management experience - Excellent oral and written communication skills. 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. 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 - Vice President - Risk/Machine Learning Data Scientist/Quantitative Modeling 

Job Description for  JP Morgan Chase - Vice President - Risk/Machine Learning Data Scientist/Quantitative Modeling  in JP Morgan Chase in  Bangalore for (8-15) years of experience. Apply Now!