Opportunity at
ExperianRisk Analyst – Data Science & Analytics
Experian seeks a Risk Analyst for its Analytics Product & Innovation team in Mumbai. In this position, the professional will participate in the complete analytics lifecycle,…
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About This Role
Experian seeks a Risk Analyst for its Analytics Product & Innovation team in Mumbai. In this position, the professional will participate in the complete analytics lifecycle, ranging from initial exploratory use cases to productization, validation, and user acceptance testing. The incumbent will utilize machine learning, statistical techniques, and bureau data to build data-driven products that deliver practical impact for clients. This role suits analytical thinkers and skilled coders who enjoy…
Job Description
Experian seeks a Risk Analyst for its Analytics Product & Innovation team in Mumbai. In this position, the professional will participate in the complete analytics lifecycle, ranging from initial exploratory use cases to productization, validation, and user acceptance testing. The incumbent will utilize machine learning, statistical techniques, and bureau data to build data-driven products that deliver practical impact for clients. This role suits analytical thinkers and skilled coders who enjoy solving complex challenges and developing scalable solutions.
Responsibilities
- Examine large and complex datasets to uncover insights and support the creation of analytics products
- Convert business concepts and challenges into data-driven solutions via statistical modeling, feature engineering, and exploratory analysis
- Create, validate, and benchmark predictive scores, models, segmentations, and decision-support tools
- Develop scalable and reusable analytical assets using SQL and Python, such as automated frameworks and workflows
- Partner with technology, product, and business groups to define requirements, assist with user acceptance testing, and address issues
- Document methodologies and insights clearly while adhering to standards for quality assurance, model governance, and data security
Requirements
- Three or more years of experience in data science, analytics, decision science, statistical modeling, or a related quantitative field
- Hands-on expertise utilizing Python and SQL to handle large datasets for exploratory analysis, feature engineering, and modeling
- Working knowledge of statistics, machine learning, and model development techniques like classification, regression, and validation
- Demonstrated ability to translate business questions into structured analytical solutions and communicate findings to stakeholders
- Focus on analytical rigor, reproducibility, documentation, testing, and data quality best practices
Qualifications
- Prior exposure to lending, credit risk, bureau, fraud, portfolio, or decision analytics
- Familiarity with modern analytics ecosystems including Git, SAS, Spark, Databricks, cloud platforms, and workflow automation
Core Skills
Benefits
- Competitive compensation package alongside a discretionary bonus plan
- Core benefits encompassing health insurance, pension, and term life insurance
- Participation in a sharesave scheme
- Twenty-five days of annual leave plus thirteen bank holidays and three volunteering days
- Option to buy extra annual leave
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and work setting for this role?
The position is located in Mumbai and requires working on-site.
Who will the Risk Analyst report to?
The role reports directly to a Senior Analytics Consultant.
What level of experience is required?
Candidates must have at least three years of experience in data science, analytics, decision science, statistical modeling, or a related quantitative discipline.
Is salary information provided in the job posting?
No, the salary is not stated in the source posting.
Sample Interview Questions
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