JPMorgan Risk Modelling 

India, Maharashtra, Mumbai 

229145622

As a Vice President, Strategic Analytics – Mortgage Servicing within the Risk Management and Strategic Analytics team, you will play a key role in data-promoten strategy analysis, identifying emerging risks, and developing insightful reporting. You will have the opportunity to interact with business partners and leaders, present analytical findings, and make data-promoten recommendations to senior management. Your strong technical skills, creativity, and attention to detail will be crucial in this role. We value self-motivation, analytical thinking, and excellent communication skills. This role provides an exciting opportunity to contribute to our team and make a significant impact on our business.

• Perform testing and document vendor models as per JP Morgan Chase Firmwide Governance guidelines
• Work closely with the senior management team to justify modeling solutions and help deliver them into production
• Collaborate with various partners in risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models)

Required qualifications, capabilities, and skills

• MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative one
• Minimum 3+ years of experience in managing predictive risk models in financial industry
• Sense of ownership, ability to work on multiple projects in parallel
• At least one year of experience and proficiency in coding (e.g., SAS, Python, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive)

Preferred qualifications, capabilities, and skills

• Good understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network – CNN and RNN, Clustering) will be added advantage
• Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency).