Ronak Khandelwal

Co-Founder

Bengaluru, Karnataka, India7 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

Ranked 1 in Department at IITD.
Co-founder of an innovative EdTech platform.
Expertise in quantitative finance and algorithm development.

Stackforce AI infers this person is a Fintech and EdTech expert with strong quantitative and software engineering skills.

Contact

Skills

Other Skills

Machine LearningLaTeXProgrammingArtificial IntelligenceMatlabSMLSoftware DevelopmentMicrosoft ExcelMicrosoft OfficeData AnalysisDigital Image ProcessingComputer ScienceHTMLLinux

About

I work as a Regional Researcher Director at WorldQuant. I graduated from IITD as Department Rank 1 with a bachelors and masters of technology in computer science. I am also a full stack engineer with special interest in Quantitative Finance and Algorithms. I am proficient in C++, C and Python.

Experience

7 yrs 10 mos

Total Experience

5 yrs 10 mos

Average Tenure

2 yrs 9 mos

Current Experience

Jeeta

Co-Founder

Aug 2023 – Present · 2 yrs 9 mos · Bengaluru, Karnataka, India · Hybrid

We are building a AI-based teaching assistant platform to help coaching institutes manage their coaching and help students get personalized attention during their study.

Worldquant

4 roles

Regional Research Director

Jul 2022 – May 2024 · 1 yr 10 mos

Vice President

Promoted

Jan 2022 – Jul 2022 · 6 mos

Senior Quantitative Researcher

Promoted

Jul 2019 – Jan 2022 · 2 yrs 6 mos

Work is to build quant models for long-short stat-arb strategies using price-volume data, fundamental data and insights from various research sell-side firms
Involved in combining signals using portfolio optimizing techniques to create high confidence tradable meta strategies.
Focusing on extracting forecast based signals to predict future returns from existing quant models and datasets available at WorldQuant.

Quantitative Researcher

Jul 2018 – Jul 2019 · 1 yr

Nvidia

Summer Intern

May 2017 – Jul 2017 · 2 mos · Banglore, India

Ensured compliance of Nvidia’s processor with ARM architecture by validating microarchitecture
using arm-simulator
Booted Linux kernel v4.12.1 (Virtualization enabled) with customized bootloader on arm-simulator
Implemented and validated Performance Monitors Unit (debug resource for program execution)
by writing directed tests in arm-v8 assembly

Morgan stanley

Summer Intern

May 2016 – Jul 2016 · 2 mos · Mumbai Area, India

Reconciliation is a post trade control operation to find trade data discrepancies (breaks) either between internal firm systems or against an external party
Developed pre-processing scripts for various reconciliations which help in data manipulation
Developed generalized data analysis script using machine learning models for checking automation scope of break categorization in different reconciliation datasets
Achieved 85-95% prediction accuracy on six reconciliation datasets which were taken to the users for validation for production purpose