Product & Business Gain exposure to how Credit & Fraud Risk teams support business growth, customer experience, and risk management decisions.

Partner with cross-functional teams to support product enhancements, business initiatives, and innovation opportunities.

Participate in activities across the product lifecycle, including discovery, testing, implementation, and performance monitoring.

Learn how data, technology, and business insights come together to solve real-world problems.

Data & Analytics Support analytical and reporting activities to identify trends, patterns, and business insights.

Work with data and visualization tools such as SQL, Python, Excel, Power BI, or Tableau.

Gain exposure to data governance, data quality, and process improvement practices.

Requirements Robust analytical and problem-solving skills Passion for data, analytics,



and risk management Curious mindset with eagerness to learn and explore new ideas Ability to work collaboratively in a fast-paced environment Ability to interpret data and derive meaningful insights Knowledge of SQL, Python, Excel, Power BI/Tableau, or other analytical tools is preferred Familiarity with Software Development Lifecycle (SDLC), automation tools/techniques (RPA, ETL tools, Machine Learning etc.), data visualization tools (Power BI, Tableau etc.) is preferred Understanding of financial services, fraud risk, credit risk, or compliance concepts is a plus
MBA/ PGDM

2-5 years
Qualification: MBA/PGDM from reputed B-school.

Experience: 20+ years in corporate sales, institutional leasing, or real estate investment.

Requirements: Proven success in closing large deals and strong industry networks.

Remuneration will be commensurate with qualifications and experience.

Required Skill Profession

Other General

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