Full-Time

AI Researcher

Vatic Investments

Vatic Investments

11-50 employees

Quantitative trading with autonomous AI agents

Compensation Overview

$175k - $250k/yr

New York, NY, USA

In Person

PhD

Category
Quantitative Finance (1)
Required Skills
LLM
Python
Regression
TensorFlow
Neural Networks
PyTorch
Machine Learning

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Requirements
  • Earned or will earn a Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.
  • Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.
  • Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary.
  • Ability to generate impactful research in academic or professional pursuits.
  • Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc.
  • Interest and enthusiasm for learning about financial markets (previous experience not required).
Responsibilities
  • Research and develop innovative AI-driven quantitative trading strategies.
  • Explore vast amounts of market and alternative data.
  • Invent and apply a new generation of state-of-the-art technologies inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods (e.g. GPT-4) to discover and capitalize on trading opportunities.
  • Work in a highly collaborative and open environment, sharing AI and trading expertise across team members and fostering innovation and growth.

Vatic Investments operates as a quantitative trading firm where traders, AI researchers, and technologists collaborate to create autonomous trading agents and advanced technology for financial markets. Its products use proprietary algorithms and AI to analyze data, predict market moves, and automatically execute trades, aiming to improve market efficiency and transparency. The company differentiates itself by combining cross-disciplinary expertise and in-house, data-driven trading systems that operate autonomously, rather than relying on manual strategies alone. Its goal is to deliver superior trading solutions and insights while generating profits from data-driven trading activities.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2013

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Simplify Jobs

Simplify's Take

What believers are saying

  • Open jobs in July 2026 show continued investment in research and trading talent.
  • Website updates in July 2026 still describe Vatic as a global liquidity provider.
  • LinkedIn posted 2026-graduate quantitative researcher roles at $175,000 to $250,000.

What critics are saying

  • Former director Rosen Kralev sued in February 2026 over a $1.5 million bonus.
  • Business Insider reported fundraising difficulty and expected $50 million in new investments.
  • A second executive suit over nonpayment signals a recurring retention and cash-flow problem.

What makes Vatic Investments unique

  • Traders, AI researchers, and technologists build autonomous trading agents in Midtown New York.
  • The firm sells market efficiency and transparency as its core edge.
  • Hiring spans low-latency C++, AI engineering, and quantitative research.

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Benefits

Ping pong and poker games

Fun Team Outings

Unlimited office snacks

Free breakfast, lunch, and dinner

Gym Membership

Full health insurance coverage for employees and dependents