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      Credit Risk Analyst Interview

      4 Dec 2023
      Anonymous employee
      Bengaluru
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied through other source. I interviewed at Refyne (Bengaluru) in Nov 2023

      Interview

      I was approached by HR team of Refyne. The entire process took 2 weeks. It was total of 4 rounds. The 1st round is outsourced to online assessment to InterviewVector. Rest rounds were with company's people.

      Interview questions [1]

      Question 1

      Round 1: Online Assessment by InterviewVector. Q1. Resume based questions Q2. SQL Questions: Leetcode 585: Investments in 2016 Leetcode 626: Exchange Seats Q3. Python Question: Read from csv file and bucket the age in 4 groups and find the average of the age in these respective buckets. output the file into a csv file. Q4. What are stored procedures in SQL? Q5. What are views in SQL? How is it different from a cte. Q6. Difference between iloc an loc in pandas. Q7. How will you do hypothesis testing in python? Specify the standard libraries and approaches. . Round 2: Interview with one of the VP Resume based questions and detail explanation of previous risk data science project. Round 3: Interview with one of the Data Scientists Q1. Calculate market size for health insurance in India. (Guesstimate) Q2. Difference between rank and dense_rank in SQL. . Round 4: Interview with one of the founders Resume based questions Q1. How will you find the total number of bus stops in Bangalore? (end-to-end funnel analysis) (Not a guesstimate)
      1 Answer
      1

      Other Credit Risk Analyst interview reviews for Refyne

      Credit Risk Analyst Interview

      21 Feb 2022
      Anonymous interview candidate
      Bengaluru
      No offer
      Neutral experience
      Difficult interview

      Application

      I applied online. The process took 2 weeks. I interviewed at Refyne (Bengaluru) in Jan 2022

      Interview

      I applied through LinkedIn. The process took 2 weeks. I interviewed in Jan,22. Resume based questions on Python, SQL, Machine learning topics and also capstone project then case study. Later HR round.

      Interview questions [1]

      Question 1

      Auto correlation, Regression, Advanced SQL queries and Credit card acumen
      Answer question

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