S #2599
Applications open
Full-Time Job
issuance growth lead
CRED
About the role
what will you do?
- demand generation through on-deck and off-deck properties which CRED has for issuance objectives
- work with marketing, product counter-parts to keep innovating on how we enable issuance, convert interest
- risk policy/funnel throughput alignment with banks to maximize conversion of co-created financial products on CRED member base.
- defining and aligning most seamless onboarding journeys with the bank defining contours around - underwriting, compliances, kyc et al.
- defining inputs around non-captive channels/merchant channels to enable discovery, capture interest and enable respective issuance partnerships
you should apply if:
- nth degree card optimizer themselves to understand how customers maximize value generation out of credit cards
- ability to understand and de-mystify user needs to take a new card, upgrade card and define customer value propositions basis that and embed into context of growth
- understanding of card onboarding journeys and various input levers
- understanding of credit/risk/policy/funnel related aspects and various input levers
- build and grow a Zero to One product. All hands on deck attitude.
- has worked on long term projects in ambiguous environments.
- has in past with projects involving multiple stakeholders across product, business, risk, legal/compliance, engineering, bank teams, and taken global maxima decisions
Eligibility & process
Who can apply
See the job description for eligibility.
Skills & stack
Selection process
- As described in the employer's job posting.
Prep kit
20 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for CRED and tech roles.
Technical Placement Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
CRED Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for CRED and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
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 (Operations Management, Advanced Excel, Project Coordination, Reporting) & 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
CRED Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join CRED as a issuance growth lead?
Highlight CRED's market reputation, recent tech innovations, and how your skills in Operations Management directly solve their team's objectives.
Highlight CRED's market reputation, recent tech innovations, and how your skills in Operations Management directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
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?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Not disclosed
Bengaluru, India
See the job description for eligibility.
