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Rand Merchant Bank Quantitative Analyst Interview Questions and Answers

Updated 29 May 2024

Rand Merchant Bank Quantitative Analyst Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Black scholes and it's assumption
  • Ans. 

    Black-Scholes model is used to calculate the theoretical price of European-style options based on various assumptions.

    • Assumes constant volatility of the underlying asset

    • Assumes the stock price follows a lognormal distribution

    • Assumes risk-free rate and dividend yield are constant

    • Assumes no transaction costs or taxes

    • Assumes markets are efficient and there are no arbitrage opportunities

  • Answered by AI
  • Q2. Option greeks and explanation
Round 2 - Technical 

(2 Questions)

  • Q1. Explain any one derivative product
  • Ans. 

    An example of a derivative product is a futures contract.

    • A derivative product is a financial instrument whose value is derived from an underlying asset, index, or rate.

    • Futures contracts are a type of derivative product where two parties agree to buy or sell an asset at a specified price on a future date.

    • Futures contracts are commonly used in commodities trading to hedge against price fluctuations.

    • Example: A farmer ente...

  • Answered by AI
  • Q2. CV based on past internship or education

Interview Preparation Tips

Interview preparation tips for other job seekers - Read JC Hull

Interview questions from similar companies

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Apr 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Probability, statistics, puzzles, one coding question

Round 2 - Coding Test 

Machine learning, pandas, time series, probability puzzles, one CP question

Round 3 - Technical 

(3 Questions)

  • Q1. Probability and distributions, complete definition and explanation of linear regression
  • Ans. 

    Probability and distributions, linear regression definition and explanation

    • Probability and distributions involve analyzing the likelihood of different outcomes occurring

    • Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables

    • It aims to find the best-fitting line that represents the relationship between the variables

    • The line is determined...

  • Answered by AI
  • Q2. Explanation of projects and tech behind
  • Ans. 

    I have worked on projects involving quantitative analysis using Python, R, and SQL.

    • Utilized Python for data manipulation and analysis

    • Used R for statistical modeling and visualization

    • Employed SQL for querying databases and extracting relevant data

  • Answered by AI
  • Q3. Law of large numbers, central limit theorem, random variables, markov chain probability question, gambler's ruin

Interview Preparation Tips

Interview preparation tips for other job seekers - complete stat 110 on youtube, practice as many probability and puzzles as you can.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via campus placement at Indian Institute of Technology (IIT), Mumbai and was interviewed before May 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Write down Black Scholes equation
  • Ans. 

    The Black Scholes equation is a mathematical model used to calculate the theoretical price of European-style options.

    • The equation is used to determine the price of a call or put option over time.

    • It takes into account factors such as the current stock price, strike price, time to expiration, risk-free interest rate, and volatility.

    • The formula is: C = S*N(d1) - X*e^(-rt)*N(d2) for a call option, and P = X*e^(-rt)*N(-d2) ...

  • Answered by AI
  • Q2. Tell the assumptions of linear regression
  • Ans. 

    Assumptions of linear regression include linearity, independence, homoscedasticity, and normality.

    • Linearity: The relationship between the independent and dependent variables is linear.

    • Independence: The residuals are independent of each other.

    • Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

    • Normality: The residuals are normally distributed.

    • No multicollinearity: T...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare probability and stats well, and brush up on programming and algorithms concepts.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Tableau, python, previous projects
  • Q2. Natural language processing, regression
Round 2 - Coding Test 

Clustering code on cricket anslytics

Round 3 - Case Study 

Audit assurance case study… examples and estimation

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Apr 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Probability, statistics, puzzles, one coding question

Round 2 - Coding Test 

Machine learning, pandas, time series, probability puzzles, one CP question

Round 3 - Technical 

(3 Questions)

  • Q1. Probability and distributions, complete definition and explanation of linear regression
  • Ans. 

    Probability and distributions, linear regression definition and explanation

    • Probability and distributions involve analyzing the likelihood of different outcomes occurring

    • Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables

    • It aims to find the best-fitting line that represents the relationship between the variables

    • The line is determined...

  • Answered by AI
  • Q2. Explanation of projects and tech behind
  • Ans. 

    I have worked on projects involving quantitative analysis using Python, R, and SQL.

    • Utilized Python for data manipulation and analysis

    • Used R for statistical modeling and visualization

    • Employed SQL for querying databases and extracting relevant data

  • Answered by AI
  • Q3. Law of large numbers, central limit theorem, random variables, markov chain probability question, gambler's ruin

Interview Preparation Tips

Interview preparation tips for other job seekers - complete stat 110 on youtube, practice as many probability and puzzles as you can.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via campus placement at Indian Institute of Technology (IIT), Mumbai and was interviewed before May 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Write down Black Scholes equation
  • Ans. 

    The Black Scholes equation is a mathematical model used to calculate the theoretical price of European-style options.

    • The equation is used to determine the price of a call or put option over time.

    • It takes into account factors such as the current stock price, strike price, time to expiration, risk-free interest rate, and volatility.

    • The formula is: C = S*N(d1) - X*e^(-rt)*N(d2) for a call option, and P = X*e^(-rt)*N(-d2) ...

  • Answered by AI
  • Q2. Tell the assumptions of linear regression
  • Ans. 

    Assumptions of linear regression include linearity, independence, homoscedasticity, and normality.

    • Linearity: The relationship between the independent and dependent variables is linear.

    • Independence: The residuals are independent of each other.

    • Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

    • Normality: The residuals are normally distributed.

    • No multicollinearity: T...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare probability and stats well, and brush up on programming and algorithms concepts.

Skills evaluated in this interview

I applied via Campus Placement and was interviewed in Apr 2021. There were 6 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Asked everything related to Machine learning , Deep Learning , NLP , Stats , Tableau

Interview Preparation Tips

Interview preparation tips for other job seekers - They are expecting a entry role with 3-5 years skillset, had my 1st technical for 2 hrs and second technical for 2 hrs , eventhough didn't get selected .

Rand Merchant Bank Interview FAQs

How many rounds are there in Rand Merchant Bank Quantitative Analyst interview?
Rand Merchant Bank interview process usually has 2 rounds. The most common rounds in the Rand Merchant Bank interview process are Technical.
What are the top questions asked in Rand Merchant Bank Quantitative Analyst interview?

Some of the top questions asked at the Rand Merchant Bank Quantitative Analyst interview -

  1. Explain any one derivative prod...read more
  2. Black scholes and it's assumpt...read more
  3. Option greeks and explanat...read more

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Rand Merchant Bank Quantitative Analyst Interview Process

based on 1 interview

Interview experience

4
  
Good
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