JPMorgan Fraud Modeling - Machine Learning Associate 

India, Maharashtra, Mumbai 

991996306

CCB Risk Modeling – Applied AI/ML Associate

• Utilize cutting-edge approaches to design and develop sophisticated machine learning models to drive impactful decisions for the business
• Leverage big data/distributed computing/cloud computing platforms to optimize and accelerate model development processes
• 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 MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields
• Deep understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network – CNN and RNN, Clustering, Recommendation) as well as design and tuning
• Polished and clear communication

Preferred Qualifications

• 3+ years of experience in developing and managing predictive risk models in financial industry
• Demonstrated experience in designing, building, and deploying production quality machine learning models such as XGBoost, GBM, etc. Experience in interpreting deep learning models is a plus
• At least one 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)
• Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is desired
• Strong ownership and execution; proven experience in implementing models in production