Anish Ashish Kasegaonkar

Anish Ashish Kasegaonkar

Quant Developer @ Tower Research Capital

About

I'm a quant developer with the North Moore trading team, at Tower Research Capital. I’m an Economics and CS graduate from BITS Pilani. I love problem-solving, and I've competed at the ICPC World Finals in 2023 and 2024.

Country

United States

City

New York

Industry

Computer Software

Skill

C++, C, Algorithms, Data Structures, Competitive Programming, MySQL, Python (Programming Language), Java, Keras, Kotlin

Experience

Tower Research Capital

Quant Developer

Tower Research Capital

LinkedIn
2025-1 - Present · 1 yr 9 mos

New York City Metropolitan Area

Working with the MFT team at North Moore on futures.

National University of Singapore

Research Intern

National University of Singapore

LinkedIn
2024-8 - 2024-12 · 5 mos

Singapore, Singapore

Working on my undergraduate thesis - "Advancements in Formalizing Mathematical Proofs within the Lean 4 Theorem Prover" at the Centre for Quantum Technologies, NUS under Dr. Divesh Aggarwal.

Tower Research Capital

Quant Research & Development Intern

Tower Research Capital

LinkedIn
2024-5 - 2024-7 · 3 mos

London Area, United Kingdom

Worked with the North Moore trading team at Tower Research at their London office, to create tools and libraries for managing, processing and analyzing historical and live market data, using machine learning algorithms and statistical techniques.

Birla Institute of Technology and Science, Pilani

Teaching Assistant

Birla Institute of Technology and Science, Pilani

LinkedIn
2023-1 - 2024-5 · 1 yr 5 mos

Pilani, Rajasthan, India

Teacher's Assistant for the following courses: 1. CS F111: Computer Programming (On-campus Course) 2. DM: Discrete Mathematics (BITS Pilani BSc CS Coursera Course) - Cohort 3 & 4

Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO)

Research Intern

Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO)

LinkedIn
2022-5 - 2022-7 · 3 mos

Worked with Dr. Yogesh Kant to develop various deep learning algorithms such as Long Short-term Memory (LSTM) and Gated Recurrent Unit (GRU) to predict particulate matter concentration over India.

Education

Birla Institute of Technology and Science, Pilani

Birla Institute of Technology and Science, Pilani

LinkedIn

Computer Science

2020-8 - 2025-6 · 4 yrs 11 mos

Received merit scholarship for being within the top 3% of my batch.

Birla Institute of Technology and Science, Pilani

Birla Institute of Technology and Science, Pilani

LinkedIn

Economics

2020-8 - 2025-6 · 4 yrs 11 mos
The Brigade Schools - Bengaluru

The Brigade Schools - Bengaluru

LinkedIn

PCMC

2018 - 2020 · 2 yrs

Anish Ashish Kasegaonkar's Contact Information

Email

******@***.com

Phone

(**) *** ****

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