Hire position- CCB Risk - ML-MDS Associate

Job Description

ML MDS-Associate Mumbai/Bangalore Job Description As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. The Model Delivery as a Service (MDS) Team is looking for a talented, highly motivated individual with strong data analysis and strategic thinking skills to support advanced analytics projects across all Lines of Business in CCB Risk. MDAS is part of the CCB Risk Modeling and Architecture Organizations with primary responsibilities to implement risk based models for CCB Risk. We work collaboratively with all functional teams across CCB Risk as well with Corporate Technology teams and Business strategy teams across CCB as well.You will be a key contributor in all aspects of the MDS Team and will be working in an agile project framework. One of your key cornerstones is the ability to adapt and quickly learn the business needs throughout the entire modeling implementation process. You will lead all quality assurance and testing effort that the team works on and will get an opportunity to guide junior team members. You will ensure that the documentation and archiving of all relevant artifacts of the validation done is maintained in an orderly manner for audit purpose..
• Import, clean, transform and validate data from multiple sources and systems (Teradata, Oracle, Hadoop, etc.) in preparation for analytics and/or modeling
• Have an understanding of Python, PySpark and Hadoop with a willingness to become an expert in Big Data and Machine Learning processes.
• Leverage a variety of analytical and statistical applications (SAS, SQL, Python, PySpark, JAVA, Scala) to describe, analyze, and validate trends in large complex data sets.
• Build and develop Proof-of-Concept machine learning outlier detection systems to run in Hadoop using Python/PySpark or JAVA/Scala.
• Oversee and validate production processes as they are being developed and implemented.
Minimum Skills, Experience and Qualifications Successful candidates will be motivated, self-starters that are results driven and are able to operate effectively in a large, matrix organization. This person should be highly organized, detail oriented, collaborative and have an aptitude for thinking strategically and creatively. The most qualified candidates will have:
• 8+ years of experience doing hands-on data analysis
• Technical expertise regarding data models, data analysis, and segmentation techniques
• Experience with Business Intelligence and analytical tools such as Tableau, SAS, Python, HUE, Hive, Impala, etc
• Self-sufficiency in querying and extracting data from Enterprise databases (Teradata, Oracle, Hadoop, etc.)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Ability to present fact-based recommendations in a clear, logical, and concise way; tell a story with data
• Superior written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
• BS in Mathematics, Economics, Computer Science, Information Management, Statistics, Engineering or related quantitative discipline preferred
Additional Skills, Experience and Qualifications About Us Across JPMorgan Chase, we serve millions of customers and many of the world s most prominent corporate and government clients. Our mission is to build a stronger, more equitable economy, and we strive to make a positive impact everyday with our customers in their communities. We are proud of our reputation as one of the world s most admired companies and we know that it s our people who make us successful. We are committed to a diverse and inclusive workplace where our employees are welcomed, valued and able to bring their authentic selves and best work forward.,

Keyskills :
big datarisk modelingdata analysiscomputer sciencerisk managementmachine learningthinking skills