IDFC First Bank Freshers Hiring 2026 | Model Risk Analyst | Mumbai — Apply Now

IDFC First Bank Freshers Hiring 2026 is open for a Model Risk Analyst position in Mumbai. This role sits within the bank’s Risk department and involves validating statistical and machine learning models used for retail lending scorecards and fraud detection. It is open to candidates with 0 to 3 years of experience, including fresh Masters graduates. If your background is in Statistics, Mathematics, Economics, Computer Science, or Engineering and you have a working knowledge of Python, R, or SAS, this is a meaningful early-career opening at a growing private sector bank.

IDFC First Bank Freshers Hiring 2026 – Full Job Details

About IDFC First Bank

IDFC First Bank is one of India’s newer private sector banks, formed from the merger of IDFC Bank and Capital First in 2018. With a customer base that has grown rapidly over the past few years, the bank has put significant focus on its retail lending business, consumer finance, and digital banking products. Their risk management function has expanded along with the bank’s loan book, and the Model Risk team specifically deals with the statistical models that sit behind lending and fraud detection decisions. It is a technically demanding department within a bank that is still in active growth mode.

Role Overview – Model Risk Analyst

The Model Risk Analyst role is part of IDFC First Bank’s Model Risk Management function. Model risk refers to the financial and operational exposure that comes when models used for credit decisions are incorrectly developed, miscalibrated, or applied outside their intended scope. Your job will be to independently validate these models — checking their statistical soundness, reviewing their documentation, and helping the bank track ongoing performance through monitoring dashboards. This is a quantitative role that requires comfort with statistical methods and some programming ability.

Key Responsibilities

• Model Validation and Sign-off: Independently perform statistical and mathematical validation of retail lending scorecards, including fraud detection and behavioural assessment models. This means verifying conceptual soundness, data integrity, and mathematical correctness before the model goes live.
• Re-validation and Process Improvement: Lead efforts to improve the accuracy, coverage, and granularity of existing validation processes. Build automation tools that reduce manual effort in routine re-validation exercises.
• Model Risk Dashboard: Develop and maintain a monitoring dashboard that tracks the real-time performance of machine learning models across the retail portfolio. Identify models that are drifting and flag them for review.
• Code Repository Management: Create standardized, reusable code for validation and monitoring exercises. The team maintains a shared code base, so well-documented, clean code is the expectation.
• Data Repository: Build and maintain a comprehensive data source repository covering all retail scorecards. This is the reference layer the team relies on during each validation exercise.
• Research and Problem Solving: Take on novel problems as the business grows into new model types. The expectation is that you can work independently through a problem and come back with a structured solution.
• Documentation and Reporting: Write clear validation reports that can be reviewed by senior risk managers and regulators. Model risk documentation at banks is subject to regulatory scrutiny, so precision is non-negotiable.

Eligibility Criteria

• Educational Qualification: Masters degree in Statistics, Mathematics, Economics, Computer Science, Operations Research, Engineering, or Physics. This is the stated requirement and is not negotiable.
• Batch Year: 2024, 2025, and 2026 Masters graduates are eligible. The role accepts 0 years of experience, meaning fresh Masters graduates can apply.
• Academic Performance: Not specified. Given the quantitative nature of the role, a strong academic record in a mathematical discipline is expected to be competitive.
• Technical Skills: Python, R, SAS, or SQL (at least one of these at a working level). Familiarity with databases (SQL, Hive, NoSQL), and understanding of Statistics, Machine Learning, and probability theory. Knowledge of distributed computing frameworks like Hadoop, Spark, or H2O is useful. Experience with Power BI, Tableau, Python Dash, or R Shiny is preferred. Any cloud exposure (AWS, Azure, or GCP) is an added advantage.
• Communication Skills: Ability to work independently and communicate findings clearly in written validation reports.

Selection Process

IDFC First Bank’s selection for quantitative risk roles typically follows these stages:

• Round 1 – Application Screening: The team reviews academic background, programming skills, and any relevant project or thesis work involving statistical modelling or machine learning.
• Round 2 – Technical Interview: A detailed discussion on statistics, machine learning model concepts, your programming experience (Python/R/SAS), and how you would approach validating a specific type of model.
• Round 3 – HR Round: Covers career goals, how you handle independent problem-solving, and your familiarity with the banking and risk management context.

Salary & Benefits

IDFC First Bank has not publicly disclosed the compensation for this role. For Model Risk Analyst positions at private sector banks in Mumbai, starting salaries for fresh Masters graduates are generally in line with quantitative finance industry norms. The role sits within a specialized risk function, which tends to have defined progression tracks as you build validated model experience.

How to Apply for IDFC First Bank Freshers Hiring 2026

1. Click the “Apply Now” button below.
2. You will be directed to the official IDFC First Bank careers portal.
3. Create an account or sign in to your existing profile.
4. Complete the application form with your academic and technical background.
5. Upload your updated resume in PDF format, making sure to highlight relevant coursework or projects involving statistical modelling or ML.
6. Submit the application and note your reference number.

Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official company careers page before applying.

Frequently Asked Questions – IDFC First Bank Freshers Hiring 2026

Q1. Who is eligible to apply for IDFC First Bank Model Risk Analyst 2026?

Candidates with a Masters degree in Statistics, Mathematics, Economics, Computer Science, Operations Research, Engineering, or Physics are eligible. The role accepts 0 to 3 years of experience, so fresh Masters graduates from 2024, 2025, and 2026 batches can apply.

Q2. What is the salary for the IDFC First Bank Model Risk Analyst role?

IDFC First Bank has not disclosed the salary publicly. Compensation for quantitative risk analyst roles at private sector banks in Mumbai is generally competitive. The exact package will be discussed during the selection process.

Q3. Where is the IDFC First Bank Model Risk Analyst job located?

This role is based in Mumbai, Maharashtra. IDFC First Bank’s corporate and risk management functions are headquartered in Mumbai.

Q4. What technical skills are needed for the IDFC First Bank Model Risk Analyst role?

The required skills include at least one of Python, R, SAS, or SQL. Knowledge of statistical methods, machine learning, and databases (SQL, Hive, NoSQL) is important. Experience with data visualization tools like Tableau, Power BI, Python Dash, or R Shiny is preferred. Cloud exposure (AWS, Azure, or GCP) and familiarity with Hadoop or Spark are additional advantages.

Q5. What is the last date to apply for IDFC First Bank Freshers Hiring 2026?

No specific deadline has been listed. Apply as soon as possible through the official IDFC First Bank careers portal using the Apply Now button above. Quantitative risk roles tend to receive strong interest from fresh graduates with data science backgrounds, so early applications have an advantage.