 
						Risk Modelling Associate
2 weeks ago
**JOB DESCRIPTION**
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
- 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).
**ABOUT US**
JPMorganChase, 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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
**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.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
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