Anirudh Singhal
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Anirudh Singhal Email & Phone Number

Quantitative Researcher at Kivi | ex-Morgan Stanley | EE IIT Bombay'21 Graduate at Kivi Capital
Location: Mumbai, Maharashtra, India 6 work roles 4 schools
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Role
Quantitative Researcher at Kivi | ex-Morgan Stanley | EE IIT Bombay'21 Graduate
Location
Mumbai, Maharashtra, India
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Anirudh Singhal is listed as Quantitative Researcher at Kivi | ex-Morgan Stanley | EE IIT Bombay'21 Graduate at Kivi Capital, a company with 18 employees, based in Mumbai, Maharashtra, India. AeroLeads shows a matched LinkedIn profile for Anirudh Singhal.

Anirudh Singhal previously worked as Quantitative Researcher at Kivi Capital and Associate, Quantitative Strategist, Fixed Income Division at Morgan Stanley. Anirudh Singhal holds Dual Degree (B.Tech+M.Tech), Electrical Engineering With Specialization In Communication And Signal Processing, 9.60/10 from Indian Institute Of Technology, Bombay.

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Kivi Capital

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Profile bio

About Anirudh Singhal

I currently work as a Quantitative Researcher at Kivi Capital. I graduated from IIT Bombay with a major in Electrical Engineering and a Minor in Computer Science. In my free time, I like to educate myself in the field of Quantitative Finance and read non-fiction novels.

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Anirudh Singhal's current company

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Kivi Capital
Kivi Capital
Quantitative Researcher at Kivi | ex-Morgan Stanley | EE IIT Bombay'21 Graduate
Website
Employees
18
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6 roles

Anirudh Singhal work experience

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Quantitative Researcher

Current

Gurugram, Haryana, India

Feb 2023 - Present

Associate, Quantitative Strategist, Fixed Income Division

Mumbai, Maharashtra, India

Developing various tools for pricing Credit derivative products by directly using the C++ analytics library in Python. The classes and functions of the analytics library (written in C++) are exposed to Python through an in-house interoperability library. This has enabled us to quickly prototype new models and roll out new features for users. Following are.

Jul 2021 - Jan 2023

Student Researcher

Mumbai, Maharashtra

Motivated by the mode estimation problem of an unknown multivariate probability density function, westudy the problem of identifying the point with the minimum kth nearest neighbor distance for a given dataset of n points. We study the case where the pairwise distances are apriori unknown, but we have access to an oracle which we can query to get noisy.

Mar 2020 - Jun 2021

Risk Analysis And Portfolio Optimization | Exchange Student

Kongens Lyngby, Capital Region, Denmark

- Designed the global minimum variance and tangent portfolio consisting of 8 stocks with and without short-selling- Attained a return of 60.88% with a risk of 0.42 and a Sharpe ratio of 1.42 for the tangent portfolio with shorting- Employed Fama-French and Capital Asset Pricing models to interpret dependence of return on risk for portfolios- Computed a.

Aug 2019 - Dec 2019

Summer Research Intern

Noida, Uttar Pradesh

Visual compatibility prediction refers to the task of determining if a set of clothing items (an outfit)go well together. There are three modalities involved in modeling an outfit: category (jeans, shirt, shoes, etc.) of individual clothing items, the context of an item (a set of other items it is compatible with), and the fashion style of an outfit. We.

May 2019 - Jul 2019

Summer Intern

Bengaluru, Karnataka

Developed an in-house app analytics service for OkCredit, a startup which provides a mobile-based digital ledge- Designed an infrastructure to collect the user interactions of 10k+ users from a mobile app for product analytics. Built a stateless server in Google Go to store data in a Cassandra database and transfer it daily to Amazon S3. Created an Android.

May 2018 - Jul 2018
Team & coworkers

Colleagues at Kivi Capital

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4 education records

Anirudh Singhal education

Dual Degree (B.Tech+M.Tech), Electrical Engineering With Specialization In Communication And Signal Processing, 9.60/10

Key Courses: - Data Analysis and Interpretation - Probability and Random Processes - Markov Chains and Queuing Systems - Matrix Computations

Minor, Computer Science, 9.4/10

Activities and Societies: Key Courses: - Data Structures and Algorithms - Fundamentals of Digital Image Processing - Advanced Machine.

Semester Exchange, 12/12

Activities and Societies: Key Courses: - Introduction to Financial Engineering - Introduction to Machine Learning and Data Mining

FAQ

Frequently asked questions about Anirudh Singhal

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What company does Anirudh Singhal work for?

Anirudh Singhal works for Kivi Capital.

What is Anirudh Singhal's role at Kivi Capital?

Anirudh Singhal is listed as Quantitative Researcher at Kivi | ex-Morgan Stanley | EE IIT Bombay'21 Graduate at Kivi Capital.

Where is Anirudh Singhal based?

Anirudh Singhal is based in Mumbai, Maharashtra, India while working with Kivi Capital.

What companies has Anirudh Singhal worked for?

Anirudh Singhal has worked for Kivi Capital, Morgan Stanley, Indian Institute Of Technology, Bombay, Dtu - Technical University Of Denmark, and Adobe.

Who are Anirudh Singhal's colleagues at Kivi Capital?

Anirudh Singhal's colleagues at Kivi Capital include Kshitij Aggarwal, Shashi Prakash Singh, Narayan Tiwari, Ashish Tyagi, and Prem Anand.

How can I contact Anirudh Singhal?

You can use AeroLeads to view verified contact signals for Anirudh Singhal at Kivi Capital, including work email, phone, and LinkedIn data when available.

What schools did Anirudh Singhal attend?

Anirudh Singhal holds Dual Degree (B.Tech+M.Tech), Electrical Engineering With Specialization In Communication And Signal Processing, 9.60/10 from Indian Institute Of Technology, Bombay.

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