Anuj Jain

Co-Founder

New York, New York, United States3 yrs 5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Awarded India's Prime Minister Balshakti Award for academics.
  • Founded Triton Quantitative Trading at UC San Diego.
  • Top 5 finalist in International Quant Championship 2024.
Stackforce AI infers this person is a Fintech and EduTech professional with strong expertise in quantitative finance and machine learning.

Contact

Skills

Core Skills

Generative AiQuantitative InvestingHigh-frequency TradingMarket MakingMachine LearningNatural Language Processing (nlp)Quantitative FinanceAlgorithmic TradingSoftware DevelopmentCryptocurrency TradingQuantitative ResearchDerivatives TradingLeadershipCloud ComputingData AnalysisRemote Sensing ApplicationsBack-end Web DevelopmentAudio ProcessingBlockchainQuantum Computing

Other Skills

Atmospheric DynamicsAutomated ClusteringBig Data AnalyticsBlockchain AnalysisComputer ArchitectureComputer ProgrammingComputer ScienceComputer VisionData PipelinesDatabasesDeep LearningDocker ProductsEconometricsEvent PlanningExploratory Data Analysis

About

Open to full time opportunities starting March 2026. Interested in AI/ML use for HFT, Crypto Quant, Geospatial Research, Energy Trading, Climate & Sustainable solutions. I was awarded India’s Prime Minister Balshakti (National Child) Award, highest civilian honor for anyone under 18 years of age for academics. Domains that I have worked in include EduTech, Wireless communications, Trading and Climate Sciences. My skills include time series analysis, market making, derivatives trading, backtesting and risk assessment. I have practically applied them in my internship at CRK Broking and in quant competitions by WorldQuant, IMC, Northwestern University and QuantConnect. I have been an enthusiastic participant in competitive Olympiads throughout STEM fields. In my internships at Neuberger Berman, AoPS and Qualcomm, I gained technical skills relevant to industry in developing end-to-end products. I have pioneered impactful student organization initiatives in my time at UC San Diego. This started at CSE, Math Society and later founding Triton Quantitative Trading (TQT) - the seed of Quant in UCSD. I instructed 1st ever student led course on Quantitative Finance in Computer Science dept. for TQT members. I like mentoring and tutoring students. Feel free to reach out if you want advise on career paths and university experiences. Also open to discuss quant trading opportunities

Experience

3 yrs 5 mos
Total Experience
10 mos
Average Tenure
8 mos
Current Experience

Neuberger berman

GenAI Intern

Oct 2025Present · 8 mos

  • AI Agents for Institutional Equity & Multi Asset Platform
Multi-agent SystemsGenerative AIQuantitative Investing

Hivemind capital

HFT Industry Project

Jul 2025Sep 2025 · 2 mos

  • Market Making and Intraday Momentum Crypto Strategies Industry Project
High-Frequency TradingCryptocurrency TradingQuantitative ResearchMarket Making

Blackrock

LLM Industry Project

Jun 2025Sep 2025 · 3 mos

  • Pre-Trained Non-stochastic Syntactical LLMs for financial documents
  • By Global Tactical Asset Allocation team
Large Language Models (LLM)Machine LearningNatural Language Processing (NLP)

Brevan howard

Quantitative Researcher Industry Project

Feb 2025May 2025 · 3 mos

  • MFE industry project on alternative data based alpha research for cryptocurrency under mentorship of Yiwei (James) Zhang
  • Explored alternative cryptocurrency on-chain data from CryptoQuant to identify high-signal features for forecasting
  • Researched and evaluated multiple ML models, including Ridge Regression and Transformers to develop strategies
  • Engineered a Transformer-based time series forecasting model, integrating forward return targeting and execution with transaction cost modeling, achieving a high Sharpe ratio and low drawdown for Bitcoin

C.r. kothari and sons stock broking private limited

Options Trader Trainee

Dec 2024Feb 2025 · 2 mos · Mumbai, Maharashtra, India · Hybrid

  • Analyzed real-time options open interest data of NIFTY to identify profitable option writing opportunities.
  • Implemented straddle, iron condor and box spread strategies optimizing risk-reward profiles.
Cryptocurrency TradingQuantitative ResearchTransformersRegression ModelsFeature Engineering

Uc san diego computer science and engineering department (cse)

4 roles

Machine Learning Researcher

Oct 2024Dec 2024 · 2 mos

  • Climate Models - Spatiotemporal ML lab mentored by Salva Rühling Cachay and advised by Prof. Rose Yu

Alumni Board Student Observer

Jun 2024Jun 2025 · 1 yr

  • Bringing the student perspective to Alumni board and helping in executing initiatives.

Instructional Assistant

Promoted

Jan 2024Dec 2024 · 11 mos

  • Intro to Programming and Advanced Data Structures courses
Software Development

Undergrad Committee (UGCOM) Student Representative

Jul 2023Jun 2024 · 11 mos

  • Contributed in evaluating and building the undergraduate program & curriculum, propose new initiatives, and recognize department members with awards

Qualcomm

Artificial Intelligence Intern

Jun 2024Sep 2024 · 3 mos · San Diego, California, United States · On-site

  • AI Intern for Industrial IoT Systems team to provide location based analytics of tracker devices in transit to clients.
  • Integrated a 95% accurate density based spatiotemporal clustering algorithm into the Cloud server
  • Created a data pipeline to deploy algorithm to the kubernetes using gRPC and REST API calls.
  • Collaborated with UI team to build dashboard of clusters forming and breaking time to track lost devices
Machine LearningStatistical ModelingQuantitative FinanceEconometricsAlgorithmic TradingQuantitative trading+1

Worldquant

Research Consultant

May 2024Sep 2025 · 1 yr 4 mos · United States

  • US National Top 5 Finalists in International Quant Championship 2024
  • Creating robust Alphas and optimizing them on Sharpe, Turnover, Returns, Margin and Drawdown
Mathematical ModelingStatistical Data AnalysisQuantitative FinanceEconometricsAlgorithmic TradingQuantitative trading

Triton quantitative trading

Founder and President

Sep 2023Dec 2024 · 1 yr 3 mos · San Diego, California, United States

  • Student Instructor of Intro to Quantitative Finance Course CSE 198 for over 55 students.
  • Created lectures, quizzes and prepared students for participating in Quant Competitions.
  • Secured 3x Sponsorship by Jane Street
  • Invited and hosted session by AoPS, WorldQuant, Apple, NVIDIA and Berkeley, CMU, UCLA MFE program.
  • Established the framework of TQT, encompassing technical Workshops, Blog Posts in Math, ML, DL and Econometrics. Members were awarded in competitions by WorldQuant, QuantConnect and IMC Trading
  • Building Open-Source projects - Pairs Trading Strategy, Prediction of SPY Indices using Ridge Regression on other countries past indices and Monte Carlo Forecasting
Derivatives Trading

Art of problem solving

Software Engineer Intern

Jun 2023Aug 2023 · 2 mos · San Diego, California, United States · On-site

  • Developed a centralized identity-based access control system for over 1000 graders and instructors
  • on the AoPS education platform, ensuring management of diverse roles and permissions for each user
  • ◦ Used TypeScript, Knex SQL, and Node.js to create a robust backend with a centralized database.
  • ◦ Integrated API authentication, Redis caching for enhanced performance, testing for frontend validation.
  • ◦ Addressed the complexity of varying roles across different courses by designing a versatile data structure.
MATLABPython (Programming Language)Time Series AnalysisData AnalysisRemote Sensing Applications

La hacks

Hacker

Apr 2023Apr 2023 · 0 mo · Los Angeles, California, United States · On-site

  • Developed personalized travel recommender webapp based on your unique preferences.
  • Integrated Cohere API to analyze the responses by user, determine travel personality and send summary to mobile number
  • Created immersive experience by displaying artistic image of destination using Dall E
JestFront-End DevelopmentPostman APISoftware DevelopmentNode.jsReact.js+3

Hackprinceton

Hacker

Mar 2023Mar 2023 · 0 mo · Princeton, New Jersey, United States · On-site

  • Development of webapp to make language learning interactive for users by knowing about objects in immediate surrounding in 35 languages. Users can create group feed to get friend’s comments and immersive learning.
  • Deployment of deep learning models and APIs for image captioning, translating and generating questions.
JavaScriptFirebasePrompt EngineeringSoftware DevelopmentReact.jsTypeScript

Treehacks

Hacker

Feb 2023Feb 2023 · 0 mo · Stanford, California, United States · On-site

  • Build a website where users create an account and will be able to upload their music tracks in MP3, WAV, and FLAC.
  • Ensured security and immutability of the music tracks by using Estuary's IPFS Blockchain Database.
  • Implemented audio processing algorithms using python Librose library to display the largest %match of the uploaded track with the music database stored on the blockchain.

The coding school

Coder

Feb 2023Feb 2023 · 0 mo · California, United States

  • Microsoft Qubit by Qubit Winter School
JavaScriptAudio ProcessingPython (Programming Language)DatabasesBlockchain

Qualcomm institute - uc san diego division of calit2

Research Assistant

Dec 2022Jun 2024 · 1 yr 6 mos · San Diego, California, United States

  • Assisted in testing novel spoofing mechanism called mmSpoof that does not require synchronization and is resilient to various security features and countermeasures of the victim FMCW radar.
  • Contributing in evaluating LoRa IoT Testbed for FSMA algorithm which addresses issue of packet collisions and loss in ALOHA.
  • Analyzed testing data to propose improvements.
  • https://wcsng.ucsd.edu/team/index.html#undergraduate-students
Machine LearningInternet of Things (IoT)Time Series AnalysisCloud ComputingReal-Time ClusteringKubernetes

University of washington

Summer Researcher

Aug 2022Aug 2022 · 0 mo · Seattle, Washington, United States

  • Learned data science and machine learning skills while working closely with UW faculty
  • Worked on project using Deep Learning for predicting El-Nino Southern Oscillation as part of Global Satellite event of the OceanHackWeek (OHW) 2022 and presented it on behalf of the team.
  • Compared accuracy of CNN, LSTM, and Principal component analysis (PCA) methods in prediction and achieved 4-month great predictability and 12-month average predictability with LSTM
Quantum ComputingQ#Quantum MechanicsMicrosoft Azure

Education

University of California, Berkeley, Haas School of Business

Master of Financial Engineering

Mar 2025Mar 2026

UC San Diego Jacobs School of Engineering

Bachelor of Science - BS — Computer Science and Engineering

Sep 2021Dec 2024

UC San Diego

Bachelor of Science - BS

Sep 2021Dec 2024

Indian Institute of Technology, Madras

Bachelor of Science - BS — Data Science

Disha Delphi Public School

CBSE High School Graduate — Advance Placement Credit

Jan 2014Jul 2021

Stackforce found 100+ more professionals with Generative Ai & Quantitative Investing

Explore similar profiles based on matching skills and experience