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REQUIREMENT_ID_1338 β€’ 3-DAY_ACTIVE_POLICY

Junior Analyst, Risk Management

Company
Company Razorpay
Type
Opportunity Type Internship
Salary
Stipend / Salary 6 LPA – 9 LPA
Location
Location Bengaluru
Posted Date
Posted Date Yesterday
AML sanctions screening financial crimes Customer Due Diligence transaction monitoring risk assessment Dow Jones LexisNexis Freshdesk chargeback knowledge analytical thinking attention to detail verbal and written communication stakeholder management
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Aptitude Practice Questions Open Resource β†—
Curated quantitative and logical reasoning problems to sharpen the analytical skills needed for the online assessment.
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Razorpay Recruitment Process Insights Open Resource β†—
First‑hand experiences from candidates detailing each interview round, useful for preparing specific risk‑management scenarios.
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Comprehensive Interview Preparation Guide Open Resource β†—
Structured study plan covering finance, AML concepts and behavioral questions to help candidates ace the technical interview.
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Algorithm and Data Structure Problem Set Open Resource β†—
Practice problems to improve coding proficiency, which can be useful for data‑analysis tasks in transaction monitoring.

Bachelor’s degree in any discipline (preferably Commerce, Finance, Economics, Computer Science or Engineering), minimum 60% aggregate CGPA/percentage, graduating batch 2024‑2026, no active backlogs at the time of joining, strong analytical mindset and interest in compliance and financial crime prevention.

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Round 1: Online assessment (aptitude, logical reasoning and basic finance concepts)
2
Round 2: Technical interview (risk management, AML processes, case studies)
3
Round 3: HR interview (cultural fit, motivation and career aspirations)
Razorpay, founded in 2014, has rapidly become one of India’s most influential full‑stack fintech companies. With a mission to simplify payments for Indian businesses, the firm now powers millions of merchants across India, Singapore and Malaysia, handling more than $180β€―billion in annualised transaction volume. Backed by global investors such as GIC, Tiger Global and Mastercard, Razorpay has built a robust ecosystem that spans checkout, payroll automation, invoicing, fraud detection, and AI‑driven risk intelligence. The company’s culture is built around ownership, transparency and relentless learning – interns can question CXOs and employees are encouraged to ship ideas without micromanagement. The Junior Analyst – Risk Management role sits at the heart of Razorpay’s compliance engine. You will be responsible for safeguarding the platform against financial crime by conducting thorough Customer Due Diligence (CDD), assessing merchant risk, and monitoring transactions for suspicious activity. The position blends analytical rigor with stakeholder communication, requiring you to work closely with product, operations and legal teams to ensure that every merchant onboarding meets the highest standards of AML, sanctions and fraud control. Key responsibilities include: 1. Perform initial and ongoing CDD for new and existing merchants. 2. Conduct website and business‑model assessments to validate risk profiles. 3. Execute transaction monitoring and flag suspicious patterns for investigation. 4. Carry out enhanced due diligence (EDD) and sanctions screening using tools like Dow Jones and LexisNexis. 5. Manage escalation queues, resolving complex or exception cases from operations. 6. Lead quality‑control checks across investigation types, including SAR filing. 7. Contribute to process‑improvement initiatives and document best‑practice workflows. 8. Serve as a Subject Matter Expert on AML policies, fraud‑control frameworks and risk categorisation. 9. Maintain accurate records and generate compliance reports for internal and regulator review. 10. Communicate findings clearly to cross‑functional stakeholders and senior leadership. Tech stack exposure includes Razorpay’s internal risk‑management platform, Freshdesk for ticketing, and screening APIs from Dow Jones and LexisNexis. Familiarity with SQL for data extraction and basic scripting (Python) for automation is advantageous. Growth path: Starting as a Junior Analyst, high performers can progress to Senior Analyst, Risk Lead, and eventually to Risk Operations Manager or Compliance Head, with opportunities to rotate into product risk, fraud engineering or regulatory affairs. Why join Razorpay? You will work in a fast‑moving fintech environment that values autonomy and impact, gain hands‑on experience with cutting‑edge AI‑driven risk tools, and be part of a team that directly protects billions of dollars in transactions. The role offers a clear career ladder, mentorship from industry veterans, and the chance to shape the future of digital finance in Asia.

Razorpay β€” AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Razorpay Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Razorpay and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (AML, sanctions screening, financial crimes, Customer Due Diligence, transaction monitoring, risk assessment, Dow Jones, LexisNexis, Freshdesk, chargeback knowledge, analytical thinking, attention to detail, verbal and written communication, stakeholder management) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Razorpay Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Razorpay as a Junior Analyst, Risk Management?
Preparation Tip: Highlight Razorpay's market reputation, recent tech innovations, and how your skills in AML directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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