Risk Analyst – Data Science & Analytics

Experian Group; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Discretionary bonus

Health insurance

Pension

Sharesave scheme

25 days annual leave

Job summary

Experian is seeking a Risk Analyst – Data Science & Analytics to join the Market Insights & Custom Analytics team in Mumbai. The role involves turning large datasets into actionable market intelligence, building models, and delivering client-specific insights.

You will code in Python and SQL, perform exploratory analyses, and automate repetitive workflows to improve speed and consistency. The ideal candidate has about 3+ years in analytics or related fields, strong Python/SQL skills, a

Qualifications

• 3+ years of experience in analytics, data science or a related field.
• Strong hands-on proficiency in Python for data manipulation and modelling.
• Strong working knowledge of SQL for large datasets.
• Solid grounding in applied statistics (sampling, distributions, hypothesis testing, regression).
• Experience with supervised/unsupervised techniques (regression, trees, clustering).
• Understanding model development practices (train/validation/test, cross-validation).
• Data-wrangling, quality assessment, feature engineering and validation skills.
• Able to translate business questions into analytical approaches and communicate findings clearly.

Responsibilities

• Analyse large bureau and client datasets to identify market trends and risks.
• Deliver custom analytics by turning client questions into hypotheses and outputs.
• Build statistical models, segmentations and benchmarks.
• Prepare data and perform exploratory analysis with Python/SQL.
• Create repeatable datasets and automate workflows for recurring insights.
• Communicate findings with charts and narratives for business audiences.
• Contribute analytical content to industry reports and client presentations.
• Collaborate with stakeholders to refine requirements and validate findings.

Skills

Python

SQL

Statistics

Machine Learning

Data wrangling

Communication

Tools

SAS

Git

Spark/Databricks

Job description

Role Overview

We are looking for a Risk Analyst – Data Science & Analytics to join our Market Insights & Custom Analytics team. This is a hands‑on analytics role focused on turning large and complex datasets into high-quality market intelligence, client‑specific insights and analytical solutions. You will work across exploratory analysis, statistical modelling, segmentation, benchmarking, customer and portfolio analytics, and automation of repeatable insight workflows. The role requires strong coding and analytical depth together with the ability to explain what the data means for a business audience; prior experience in a specific risk domain is not mandatory.

What you'll do

• Analyse large bureau and client datasets to identify market trends, portfolio patterns, customer segments, emerging risks and growth opportunities.
• Deliver custom analytics assignments by converting client questions into structured hypotheses, analytical methods, outputs and recommendations.
• Build statistical models, segmentations, benchmarks and diagnostic analyses where they materially improve the quality of insight or decision making.
• Perform data preparation, exploratory analysis, feature engineering and quality checks using efficient Python and SQL code.
• Develop repeatable analytical datasets, code libraries and automated workflows to improve the speed and consistency of recurring market‑insight outputs.
• Create clear, decision‑oriented charts, tables and narratives that communicate analytical findings without overstating what the data supports.
• Contribute analytical content to industry insight reports, client presentations and other thought‑leadership outputs.
• Work with stakeholders to refine requirements, validate findings and ensure the final output addresses the intended business question.
• Maintain best practices for analytical accuracy, documentation, reproducibility and peer review.
• Follow applicable data‑security, governance and compliance requirements.

What success looks like

• Accurate, insightful and custom analytics and market‑insight deliverables.
• Outputs that translate data into clear business implications and are useful to clients and internal stakeholders.
• Increasing automation and reuse across recurring reports, benchmarks and analytical workflows.
• Strong analytical quality and low rework through disciplined validation and documentation.

Experience and Skills

What you'll need to bring

• Approximately 3+ years of experience in analytics, data science, decision science, statistical modelling or a closely related field.
• Strong hands‑on proficiency in Python for data manipulation, exploratory analysis, statistical modelling and machine learning.
• Strong working knowledge of SQL, including the ability to extract, transform and analyse large and complex datasets.
• Sound grounding in applied statistics, including sampling, distributions, hypothesis testing, regression and model evaluation.
• Hands‑on experience with common supervised and unsupervised techniques such as regression, tree‑based methods, ensemble methods, gradient boosting, classification, clustering and segmentation.
• Understanding of model‑development practices including train/validation/test design, cross‑validation, overfitting, performance metrics, stability and interpretability.
• Strong data‑wrangling, data‑quality assessment, feature‑engineering and analytical validation skills.
• Convert a business question into a structured analytical approach and communicate findings clearly to technical and non-technical stakeholders.
• A disciplined approach to coding, documentation, reproducibility and quality assurance.

Good to have

• SAS or another statistical programming environment.
• Git or similar version‑control tools and collaborative coding practices such as peer review.
• Cloud analytics platforms, distributed computing or tools such as Spark / Databricks.
• Experience automating analytical workflows or developing reusable analytics libraries and utilities.
• Exposure to productionisation, model monitoring or model‑governance frameworks.
• Exposure to customer analytics, portfolio analytics, market intelligence, risk analytics, segmentation or benchmarking.
• Experience developing analytical visualisations, dashboards or publication‑quality charts using Python or BI tools.
• Experience in banking, lending, fintech, payments, insurance, credit‑bureau data or other data‑rich industries.
• Experience presenting analytical findings or supporting client‑facing deliverables.

Domain note:

Experience in credit risk or bureau analytics is valuable, but strong analytics, coding and statistical reasoning are the primary selection criteria.

About Experian

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.

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 Aff… 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

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.

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