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I applied via Simplify and was interviewed before Jul 2023. There was 1 interview round.
I have over 5 years of experience in quantitative research, specializing in financial markets and data analysis.
Developed quantitative models to analyze market trends and predict future outcomes
Utilized statistical software such as R and Python to conduct data analysis
Published research papers on topics related to financial markets and investment strategies
Yes, I have experience working with machine learning algorithms in various projects.
I have implemented supervised learning algorithms such as linear regression, logistic regression, and support vector machines.
I have also worked with unsupervised learning algorithms like k-means clustering and principal component analysis.
I have experience with deep learning algorithms such as neural networks and convolutional neural n...
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I applied via Company Website and was interviewed in Feb 2024. There was 1 interview round.
Answers to various quantitative research questions
Attention mechanism is a key component in deep learning models that allows the model to focus on specific parts of the input sequence.
SDE stands for Stochastic Differential Equation in the context of the Heston model used in quantitative finance.
Implied volatility is the market's expectation of future volatility implied by the prices of options.
PCA (Principal Component ...
posted on 21 Jun 2024
posted on 3 Sep 2024
I applied via Referral and was interviewed in Aug 2024. There was 1 interview round.
Dataset and goal of the assignment was shared. Python coding and explanation in ML was expected.
I applied via LinkedIn and was interviewed before Jul 2023. There were 2 interview rounds.
Quantitative analysts play a crucial role in decision making by providing data-driven insights and recommendations.
Utilize statistical models to analyze data and identify trends
Develop quantitative strategies to optimize decision making processes
Collaborate with stakeholders to understand business objectives and provide relevant analysis
Present findings and recommendations to support informed decision making
I was interviewed before Apr 2023.
VaR measures the maximum potential loss within a confidence level, while ES measures the expected loss beyond VaR.
VaR stands for Value at Risk and measures the maximum potential loss within a specified confidence level.
ES stands for Expected Shortfall and measures the expected loss beyond the VaR.
VaR is a single point estimate, while ES provides a more comprehensive view of tail risk.
ES is considered more conservative ...
List the difference between two arrays of strings
Loop through each element in the first array and check if it exists in the second array
If an element is not found in the second array, add it to the difference array
Repeat the process for the second array to find elements in the first array that are not in the second array
I applied via Company Website and was interviewed in Feb 2024. There was 1 interview round.
Answers to various quantitative research questions
Attention mechanism is a key component in deep learning models that allows the model to focus on specific parts of the input sequence.
SDE stands for Stochastic Differential Equation in the context of the Heston model used in quantitative finance.
Implied volatility is the market's expectation of future volatility implied by the prices of options.
PCA (Principal Component ...
posted on 23 Jun 2024
I applied via campus placement at Indian Institute of Technology (IIT), Roorkee and was interviewed before Jun 2023. There were 6 interview rounds.
3 sections consisting maths, prob stats and CS fundamentals
2 easy to medium-level coding questions
Graph of x+(1/x) is a hyperbola with two branches.
The graph consists of two branches, one in the first quadrant and one in the third quadrant.
As x approaches positive or negative infinity, the graph approaches the x-axis.
The graph has a vertical asymptote at x=0.
The minimum value of the function is 2 when x=1 or x=-1.
I have worked on various quantitative analysis projects in finance, risk management, and data science.
Developed predictive models using machine learning algorithms
Conducted statistical analysis to identify trends and patterns in data
Implemented quantitative strategies for portfolio optimization
Utilized programming languages such as Python, R, and SQL
Collaborated with cross-functional teams to deliver actionable insight
posted on 2 Dec 2016
I applied via campus placement at Indian Institute of Technology (IIT), Chennai and was interviewed in Dec 2016. There were 4 interview rounds.
Loop in a linkedlist can be found using Floyd's cycle-finding algorithm.
Use two pointers, one moving at a speed of 1 and the other at a speed of 2.
If there is a loop, the two pointers will eventually meet at some point.
If there is no loop, the faster pointer will reach the end of the list.
Time complexity is O(n) and space complexity is O(1).
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