Job Description : Organization : - Wholesale Credit Solutions group is a newly created organization spanning across CB, CIB and AWM Credit Risk. This role will sit within the Transformation Office, a centralized team focused on reshaping the end-to-end Wholesale Credit Risk experience, while driving consistency, speed, efficiency across risk management processes. The team is segmented in two focus areas: run the bank (restructuring current processes and policies) and change the bank (implementing strategic processes utilizing new data and machine learning solutions). - The Transformation Office team is a motivated, forward thinking team comprised of high-talent individuals with a singular focus of delivering innovative solutions. The position will work extensively with cross-Wholesale risk and technology teams to ensure the implementation of the enhancements to processes, policies and data/analytics. Position : - This role will be part of the Data Science and Strategy Analytics team that has been tasked to develop value added risk analytics solutions through the deployment of advanced analytical frameworks and Machine Learning algorithms on top of the firm's big data resources. In particular, the role will focus on leveraging data to enhance the current End-to-End credit risk process across all of Wholesale. Responsibilities Include but not limited to : - Analyze structured/unstructured data from internal and external data sources to drive actionable insights in credit risk. - Lead development of event-driven scenario analytics to analyze the impact of macro-economic factors and current events on the Wholesale portfolio. - Develop data visualization and summarization techniques to convey key findings in dashboards and presentations to senior management. - Perform ad-hoc exploratory analysis and data mining tasks on diverse datasets from small scale to - big data- . - Execute creative analyses, provide insight to identify issues and implement recommendations - Gather, synthesize, analyze and present project data and findings. Participate in working groups of senior credit officers. - Support risk strategy development that improves risk monitoring capabilities through the use of data. - Support client stakeholders on key business decisions and change efforts. Deliver strategic presentations for both internal and external audiences Qualifications : - At least 4+ years in a strategy or analytics role with in financial services industry required. - At least 2+ years of Professional experience as a data scientist or a related analytical role with prior hands-on python coding experience. - Previous credit risk experience and knowledge of traditional wholesale credit products is a plus - Master's degree in mathematics, statistics, engineering or equivalent quantitative discipline - Data Science experience preferred: Regressions, Clustering, Decision Trees, Ensemble learning like Boosting/Bagging, Neural Networks (Network Analysis experience a plus - Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. - Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. - Self-starter with the ability to solve problems creatively and deliver results while working in a dynamic, collaborative, and challenging environment - An ability to work well in cross-functional teams, analyze problems, apply quantitative analytical approaches, and communicate effectively and confidently - Detail-oriented, organized, and able to multitask to meet deadlines under pressure - Strong communication skills, both written and verbal, with an ability to communicate business and technical concepts to both expert and novice audiences - Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc. About Us : - 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. About the Team : - Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we- re setting our businesses, clients, customers and employees up for success. - 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 link provided below will redirect you to a website. Please apply there as well.

Mumbai

 JP Morgan Chase - Associate - Data Science - Corporate Risk - Wholesale Credit Solutions   

Job Description for  JP Morgan Chase - Associate - Data Science - Corporate Risk - Wholesale Credit Solutions    in JP Morgan Chase in  Mumbai for (4-9) years of experience. Apply Now!