Quant Modeling Senior Assoc

JPMorgan Chase & Co.; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a CCB-Risk- Portfolio Risk Modeling Associate in Mumbai. The role involves designing and validating statistical models crucial for risk assessment. Strong experience with statistical modeling in financial services and knowledge of regulatory standards is required.

Candidates should hold a Master’s or Ph.D. in a technical field, proficient in advanced analytical tools like SAS, R, and Python. Strong communication and analytical skills, along with the ability to deliver under tight deadlines, are essential.

Qualifications

• 5+ years’ statistical modeling experience in the financial services industry.
• Knowledge of regulatory modeling (IFRS9 / CECL / CCAR / Basel) preferred.
• Proficiency in SAS (Preferred), R, Python.

Responsibilities

• Design, develop, test, and validate statistical models for risk weight calculation.
• Utilize graduate-level research and analytical skills for statistical analyses.
• Efficiently design programs for model development and reporting.
• Proactively collaborate with business partners to meet analysis needs.

Skills

Statistical modeling experience

SAS

R

Python

Strong communication skills

Analytical problem-solving

Education

Master’s or Ph.D. in Statistics, Economics, Finance, Mathematics, Computer Science, Engineering, or IT

Job description

CCB-Risk- Portfolio Risk Modeling – Associate

This role is a member of the Portfolio Risk Modeling team, expected to support critical statistical development projects and related analysis. The incumbent candidate will have the following roles and responsibilities.

• Design, develop, test, and validate statistical models for risk weight calculation, risk forecast and model performance monitoring.
• Utilizing 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.
• Efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting.
• Proactively communicate and collaborate with line of business partners and model end-users to analyze and meet analysis and reporting needs.

Qualifications

• 5+ years’ statistical modeling experience in the financial services industry; Knowledge of regulatory modeling (IFRS9 / CECL / CCAR / Basel) preferred.
• Proficiency in advanced analytical languages such as SAS (Preferred), 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.