Bhavuk Bhandula

Associate Consultant

New Delhi, Delhi, India3 yrs experience

Highly Stable

Key Highlights

Strong background in quantitative research and finance.
Experience in developing and testing financial models.
Proficient in multiple programming languages including Python and C++.

Stackforce AI infers this person is a Quantitative Researcher with expertise in Finance and Algorithms.

Contact

Skills

Core Skills

Quantitative ResearchQuantitative FinanceImage ProcessingAlgorithms

Other Skills

Software InfrastructurePython (Programming Language)C++DebuggingOCamlStatistical ResearchEngineeringSystems EngineeringSoftware DevelopmentBashStatisticsTradingLogic ProgrammingAlpha TestingLogical Reasoning

About

Hi, I am Mathematics and Computing Senior at IITD, interested and involved in the field of Finance, Algorithms, Analytics, Image Processing and Machine Learning. I have previously interned at NK Securities as a Quantitative Researcher. I'm currently a Teaching Assistant at IIT Delhi for Computer Science. I am actively looking for new endeavours and challenges.

Experience

3 yrs

Total Experience

3 yrs

Average Tenure

3 yrs

Current Experience

Quadeye

Quantitative Researcher

Jun 2023 – Present · 3 yrs · Gurugram, Haryana, India · On-site

Quantitative Researcher/Strategist for Quadeye Securities. Responsible for alpha research and analysis on different markets

Software InfrastructurePython (Programming Language)Quantitative ResearchQuantitative Finance

Indian institute of technology, delhi

Teaching Assistant

Aug 2022 – Dec 2022 · 4 mos · New Delhi, Delhi, India

Teaching assistant in the introductory Computer Science Course at IITD

Nk securities research

Quantitative Researcher

May 2022 – Jul 2022 · 2 mos · Gurugram, Haryana, India

Worked on developing and rigorously testing an Indicator for Option Pricing. Applied methods for risk aversion of the said indicator. Explored arbitrage opportunities with alternate methodologies

C++Python (Programming Language)Quantitative ResearchQuantitative Finance

Unsw

Research Intern

May 2021 – Jul 2021 · 2 mos · Sydney, New South Wales, Australia

Designed a mathematical reduction translating a logical encoding language GDL to DLPA. Assisted in the development of DLPAG, a higher level version of DLPA. Acted as an alpha tester on this language and rectified bugs. Added functionality to simulate games in DLPAG to test winning strategies by different AI Models on different game states

DebuggingOCamlImage ProcessingAlgorithms