Time since we first saw it
Day 5
Early. Similar jobs usually come down between day 7 and day 55.
From 10,000 similar postings that came down. Coming down is not always a hire.
Analytics Consultant
Mumbai, India
Likely evergreen, first seen by us 5 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingBuild credit risk models using bureau, alternative and emerging data
Advise clients on acquisition strategy, credit risk assessment and limit assignment
Deliver analytical solutions to clients on agreed timelines
Work with business, technical and delivery teams to define and deliver solutions
From the employer’s posting
Build best-in-class risk models leveraging bureau, alternative, and emerging data sources
Provide subject matter expertise in acquisition strategies, credit risk assessment, and limit assignment
Deliver high-quality analytical and value-added services to clients, ensuring excellence in execution and adherence to agreed timelines.
Partner closely with business stakeholders, technical consultants, and delivery teams
What you’ll bring
All qualificationsCore experience
- 8+ years in credit risk modelling across the customer life cycle
- MSME lending and underwriting domain knowledge
- Machine learning and modelling methods such as Gradient Boost, KNN, logistic regression
- Python and statistical tools such as SAS
- Applied statistics: distributions, statistical testing, regression
Qualification wording
8+ years of experience in credit risk modelling across customer life cycle
Domain expertise includes MSME lending, with understanding of MSME underwriting, credit assessment
Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN.
Experience working on large datasets using Modern languages like Python
Good applied statistics skills, such as distributions, statistical testing, regression etc.
Benefits in the posting
Full benefits wording- 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.
- 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
- Find out what its like to work for Experian by clicking here
- 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.
From the employer’s posting.
Posting record
Report an errorLikely evergreenReposted 2 times since Sep 10, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Oct 30, 20265 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 4, 2026
- Reposted
- 2 times since Sep 10, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Experian is hiring
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Takes jobs down quickly
- 36% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SAS
Where the posting names them
- 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
- 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.
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has Experian posted this job before?
Yes. We’ve followed 3 other Analytics Consultant jobs there since July 2026. 3 came down, usually after about 48 days.
If this one keeps the same pace, it may come down around December 17.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
- 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.
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
#LI-Onsite
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Mumbai, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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