Senior Associate - Quant Modeling

Aumni; Mumbai; Presencial; INR 2.000.000 - 4.200.000; Jornada completa

Descripción de la vacante

JPMorganChase invites applications for a Portfolio Risk Modeling Senior Associate within Consumer & Community Banking Risk Management. You will design, validate and monitor statistical models for risk weight calculation and forecasting, applying graduate-level analytics and data extraction.

You will collaborate with business partners and model end-users to deliver robust analytical insights, ensuring governance and reporting standards are met across the firm.

Formación

• Minimum of 5 years of relevant statistical modeling experience in financial services.
• Proficiency in R, Python, PySpark, and AWS.
• 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, with the ability to deliver high-quality results under tight deadlines.
• Strong multitasking and communication skills.

Responsabilidades

• Design statistical models for risk weight calculation, risk forecasting, and model performance monitoring.
• Develop statistical models and analytics to support critical development projects.
• Test models and supporting code to ensure accuracy and stability.
• Validate models and monitoring approaches, including documenting model performance.
• Perform data extraction, sampling, and statistical analyses using methods such as logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, and panel data analysis.
• Build efficient programs to streamline and create repeatable procedures for model development, validation, and reporting.
• Communicate proactively with business partners and model end-users on analysis objectives, progress, and results.
• Collaborate with partners and end-users to define and meet analysis and reporting needs.

Conocimientos

Statistical modeling

5+ years experience

Analytical thinking

Communication skills

Educación

Master’s or Ph.D. in statistics, economics, finance, mathematics, CS, engineering, or IT

Herramientas

R

Python

PySpark

AWS

Descripción del empleo

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.

Job summary

As a Portfolio Risk Modeling Senior Associate within Consumer & Community Banking Risk Management, you will support critical statistical development projects and related analysis. You will design, develop, test, and validate statistical models for risk weight calculation, risk forecasting, and model performance monitoring. You will apply graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses using methods such as logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, and panel data analysis. You will design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting. You will communicate and collaborate with business partners and model end-users to analyze and meet analysis and reporting needs.

Job responsibilities

• Design statistical models for risk weight calculation, risk forecasting, and model performance monitoring.
• Develop statistical models and related analytics to support critical development projects.
• Test models and supporting code to ensure accuracy and stability.
• Validate models and monitoring approaches, including documenting model performance.
• Perform data extraction, sampling, and statistical analyses using techniques such as logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, and panel data analysis.
• Build efficient programs to streamline and create repeatable procedures for model development, validation, and reporting.
• Communicate proactively with business partners and model end-users on analysis objectives, progress, and results.
• Collaborate with partners and end-users to define and meet analysis and reporting needs.

Required qualifications, capabilities, and skills

• Qualified graduate with minimum of 5 years of relevant experience in statistical modeling within financial services industry
• Proficiency in advanced analytical languages such as R, Python, PySpark, and AWS
• 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, with 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 (IFRS 9 / CECL / CCAR / Basel)

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.

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.

Build and validate portfolio risk models that forecast performance and strengthen governance across consumer banking.