Quant Modeling Associate - Portfolio Risk Modeling India

Posted 10 Days Ago
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Bengaluru, Karnataka
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As a Quant Modeling Associate - Portfolio Risk Modeling, you will design and validate statistical models for risk calculations. You will perform data extraction and sampling, support statistical projects, and collaborate with business partners to meet analysis needs, ensuring high-quality results under tight deadlines.
Summary Generated by Built In

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.
As a Quant Modeling Associate - Portfolio Risk Modeling in India, you will be a key member of the Portfolio Risk Modeling team. You will support critical statistical development projects and related analysis. Your role will involve designing, developing, testing, and validating statistical models for risk weight calculation, risk forecast, and model performance monitoring. You will utilize your advanced analytical skills to perform data extraction, sampling, and statistical analyses. You will also design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting. We value proactive communication and collaboration with our line of business partners and model end-users to analyze and meet analysis and reporting needs. Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment.
Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others.
Job responsibilities :

  • Design, develop, test, and validate statistical models for risk weight calculation, risk forecast and model performance monitoring.
  • Support critical statistical development projects and related analysis
  • Utilize graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses using logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, panel data analysis, etc.
  • Design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting.
  • Communicate and collaborate with line of business partners and model end-users to analyze and meet analysis and reporting needs.


Required qualifications, capabilities, and skills

  • Minimum 3 years statistical modeling experience in the financial services industry
  • Proficiency in advanced analytical languages such as R, Python.
  • A Master's or Ph.D. Degree in a technical or quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Science, Engineering, or Information Technology.
  • Strong analytical and problem-solving skills
  • Strong organization and time management skills. Must have the ability to deliver high-quality results under tight deadlines.
  • Strong multi-tasking skills with demonstrated ability to manage expectations and deliver results.
  • Strong communication skills.


Preferred qualifications, capabilities, and skills

  • Knowledge of regulatory modeling (IFRS9 / CECL / CCAR / Basel) preferred.
  • Proficiency in advanced analytical languages such as SAS (Preferred)


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.

Top Skills

Python
R
SAS

What the Team is Saying

Nick S.
Lupe C.
Edwin T.
Dawn T.
Meng M.
The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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