Analytics Consultant

Experian
Mumbai Metropolitan Region

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

We are hiring an Analytics Consultant to build advanced credit risk models and deliver data-driven solutions for financial services clients. In this role, you will leverage machine learning, bureau and alternative data, and risk analytics expertise to drive underwriting, decisioning, and portfolio management strategies.

  • Delivering high quality analytical and value-added services for clients while adhering to timelines
  • Build next in class risk Models for our Clients leveraging bureau and alternate data
  • Provide subject matter expertise on acquisition and limit assignment strategies
  • You'll play an integral role to Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution
  • You will have the opportunity to use analysis and customer insights to develop value propositions for customers
  • Delivering high quality analytical and value-added services for clients while adhering to timelines
  • Build next in class risk Models for our Clients leveraging bureau and alternate data
  • Provide subject matter expertise on acquisition and limit assignment strategies
  • You'll play an integral role to Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution
  • You will have the opportunity to use analysis and customer insights to develop value propositions for customers

Qualifications

  • 8+ years of experience in credit risk modelling across customer life cycle
  • Domain expertise includes MSME lending, with understanding of MSME underwriting, credit assessment, risk segmentation, bureau-based lending, alternate-data-based lending, and portfolio risk management.
  • Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN.
  • Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree
  • Experience working on large datasets using Modern languages like Python
  • Good understanding and hands-on experience of statistical modelling/data analysis tools (SAS, Python) and techniques
  • Good applied statistics skills, such as distributions, statistical testing, regression etc.
  • Experience in decisioning and portfolio management within banking and financial services will be an added advantage.
  • Understanding of credit bureau would be an added advantage
  • Extensive experience of managing large projects
  • Experience working in a financial services environment or Modelling department of International Banks
  • Interpret technical features into commercial benefits

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits

  • Great compensation package and discretionary bonus plan
  • Core benefits include pension, health Insurance and term life Insurance, Sharesave scheme and more!
  • 25 days annual leave with 13 bank holidays and 3 volunteering days. You can also purchase additional annual leave.
  • You will report to Senior Analytics Consultant.
  • Role Location: Mumbai
  • Experian is an equal opportunities employer

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.

Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Experian Careers - Creating a better tomorrow together

Experian Careers - Creating a better tomorrow together

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Questions about this job

How do I apply for the Analytics Consultant job at Experian?

Use the apply link on this page: you apply directly with Experian on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Experian want for this Analytics Consultant role?

The job description asks for credit risk modelling, MSME lending, MSME underwriting, credit assessment, risk segmentation, bureau-based lending, alternate-data-based lending and portfolio risk management. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Experian?

Apply to the Experian roles that match your experience, and tailor your resume to each job description: for this role that means showing credit risk modelling, MSME lending, MSME underwriting. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Analytics Consultant job remote or onsite?

This is based in Mumbai Metropolitan Region.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Experian, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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