Senior Mortgage Credit Modeler

Experience: 7.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 7 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Hybrid (Bengaluru)

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Riskspan)

(*Note: This is a requirement for one of Uplers client - A Single Platform for Loans | Securities | MSRs | Private Credit)

What do you need for this opportunity?

Must have skills required:

Hierarchical models, Monte Carlo simulation, mortgage credit risk modeling, Python/R/C++

A Single Platform for Loans | Securities | MSRs | Private Credit is Looking for:

Job Requisition: Senior Mortgage Credit Modeler

Position: Mortgage Credit Modeler

Location: Bengaluru - hybrid

Department: Quantitative Research & Analytics

Role Summary

We are seeking a quantitative modeler with deep expertise in mortgage credit risk to design and implement advanced statistical and econometric models. This role will focus on loan-level performance modeling (delinquency, prepayment, default, loss given default) and structured mortgage asset valuation. The ideal candidate will combine rigorous quantitative training with hands-on experience in coding, model development, and empirical research.

Core Responsibilities

• Develop and enhance loan-level mortgage credit risk models (transition matrices, hazard models, competing risks, survival analysis).
• Implement econometric and machine learning approaches for prepayment, default, and severity modeling.
• Conduct robustness checks of model estimation and sensitivity analysis to assess model robustness.
• Analyze large-scale loan-level datasets (e.g., GSE loan-level, CoreLogic, Intex, private-label RMBS).
• Build and document models in Python/R/C++, ensuring reproducibility and version control.
• Partner with structured finance and risk teams to integrate models into pricing, stress testing, and risk management frameworks.
• Research macroeconomic drivers of mortgage performance and their incorporation into stochastic scenario design.
• Author technical model documentation and research notes for internal stakeholders, model risk management, and regulators.
  
  
  

Technical Qualifications

Required:

• Master’s or Ph.D. in Quantitative Finance, Statistics, Econometrics, Applied Mathematics, or related quantitative discipline.
• 7+ years of direct experience in mortgage credit risk modeling or structured finance analytics.
• Advanced skills in statistical modeling: survival analysis, proportional hazard models, logistic regression, generalized linear models, panel data econometrics.
• Strong programming expertise in Python (pandas, NumPy, scikit-learn, statsmodels) or R.
• Proficiency in handling big data (SQL, Spark, Snowflake, and cloud-based data environments).
• Deep knowledge of mortgage credit risk dynamics, housing market fundamentals, and securitization structures.
  
  
  

Preferred:

• Experience with Hierarchical models, and Monte Carlo simulation.
• Knowledge of machine learning algorithms (e.g., gradient boosting, random forests, neural nets) applied to credit modeling.
• Familiarity with stress testing frameworks and regulatory model governance needs.
• Background in RMBS cash flow modeling and structured product analytics.
  
  
  

This role is highly technical and research-driven. Candidates should be comfortable working with complex datasets, formulating empirical hypotheses, and coding full modeling pipelines from data ingestion through validation and deployment.

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, dont hesitate to apply today. We are waiting for you!

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