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Experian

Analytics Consultant

Experian is hiring an Analytics Consultant in Mumbai, India. Level rates it ; you can apply on Experian.

Level's read on this job

  • Level rates this AI consultant role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Python, SAS and credit risk.
  • Level classifies it as a senior role.
  • Level lists 390 other open roles at Experian.
  • The role was posted in the last few days.

AI in this role

Analytics Consultant building advanced machine learning credit risk models and data-driven solutions for financial clients.

PythonSAS
credit-riskmachine-learningdata-analyticsrisk-modelingunderwriting

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.

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.

What you'll be doing

  • Deliver high-quality analytical and value-added services to clients, ensuring excellence in execution and adherence to agreed timelines.
  • Build best-in-class risk models leveraging bureau, alternative, and emerging data sources to drive informed business decisions and portfolio performance.
  • Provide subject matter expertise in acquisition strategies, credit risk assessment, and limit assignment to support business growth and risk management objectives.
  • Partner closely with business stakeholders, technical consultants, and delivery teams to establish shared understanding, align on requirements, and successfully deliver proposed solutions.
  • Use data-driven analysis, customer insights, and market understanding to develop compelling value propositions that create measurable value for customers.
  • Contribute as a trusted advisor by combining analytical expertise, strategic thinking, and cross-functional collaboration to deliver impactful client outcomes.

What we are looking for

  • 8+ years of experience in credit risk modelling across the customer lifecycle, with strong MSME lending and portfolio risk management expertise.
  • Hands-on experience developing statistical and machine learning models using Python/SAS, including Logistic Regression, Decision Trees, Gradient Boosting, and KNN.
  • Strong knowledge of MSME underwriting, credit assessment, risk segmentation, bureau-based and alternate-data lending frameworks.
  • Proven ability to analyze large datasets, apply advanced statistical techniques, and translate analytical insights into business outcomes.
  • Experience managing large-scale analytics projects within banking, financial services, or international banking environments; credit bureau and decisioning experience preferred.
  • Ability to interpret technical and modelling outputs into clear commercial recommendations and business benefits.

Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. 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

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Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

How we rate this

Analytics Consultant at Experian rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Credit RiskMachine learningData AnalyticsRisk ModelingUnderwritingPythonSAS

Also common in AI consultant jobs at this level

Pay

Typical AI consultant job
$151k

This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs

Questions you could be asked

  1. Tell me about a project where credit risk was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where data analytics was part of your work. What did you do?
  4. Tell me about a project where risk modeling was part of your work. What did you do?
  5. Tell me about a project where underwriting was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Credit Risk, Machine learning, Data Analytics, Risk Modeling, and Underwriting. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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