Apprentice - Credit & Fraud Risk

Eligibility Criteria

• Candidates must have completed graduation under Bachelor's or Master's degree program in Engineering, Mathematics, Statistics, Economics, Computer Science, Data Science, Business Analytics, Finance, or other relevant quantitative disciplines.
• Strong 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.

Key Responsibilities (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.

Key Responsibilities (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.

Required Technical Skills

• 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.

Required Soft Skills

• Strong 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.

Selection Process / Rounds / Tests

Round 1: Application Screening — Details: Resume and qualification review | Topics: Academic background (Quantitative disciplines), Analytical skills | Mode: Online | Purpose: Initial screening based on eligibility criteria

Round 2: Online Assessment — Details: Evaluate analytical and problem-solving skills | Topics: Data interpretation, Quantitative aptitude, Logical reasoning | Mode: Online | Purpose: Assess analytical and quantitative skills

Round 3: Technical Interview — Details: Assess data analytics, SQL, Python, and risk management knowledge | Topics: SQL, Python, Excel, Power BI/Tableau, Data visualization, Risk management concepts | Mode: Online / In-person | Purpose: Evaluate technical knowledge and problem-solving skills

Round 4: HR Interview — Details: Evaluate communication and cultural fit | Topics: Communication skills, Passion for risk management, Curiosity mindset | Mode: Online / In-person | Purpose: Final evaluation of soft skills

Important Notes & Benefits

• 12-month paid apprenticeship program.
• Cab facility and free meals provided.
• Flexible working model with hybrid arrangement.
• Training and development opportunities.
• Offer conditioned upon successful background verification check.