Vatic Investments Logo

Vatic Investments

AI Research Internship

Reposted 3 Days Ago
Be an Early Applicant
Easy Apply
In-Office
New York, NY
3K-5K Hourly
Internship
Easy Apply
In-Office
New York, NY
3K-5K Hourly
Internship
As a Quantitative Research Intern, you will work on developing autonomous trading agents using AI and machine learning algorithms, analyzing market data, and contributing to impactful research.
The summary above was generated by AI

Vatic Labs is a quantitative trading firm in New York.  Our traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.  

As an AI Intern at Vatic Labs, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. As a part of your internship at Vatic Labs, you will explore vast amounts of market data, research different AI approaches, apply cutting edge machine learning algorithms and statistical approaches to this data to discover and capitalize on trading opportunities.

We are seeking researchers who have demonstrated the ability to generate impactful research in their academic pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.

If you possess the following, we would love to explore what is available for you with our team:

  • Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields
  • Demonstrable experience coding in C++ or Python in a Linux environment
  • Have experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression.
  • In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods
  • Have innate curiosity for understanding why and how certain techniques work
  • Have deep knowledge of time-series analysis
  • Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred
  • Contribution to AI and ML research communities, top tiered peer reviewed publications, publishing/presenting papers at conferences such as NeurIPS, ICML,  etc.
  • Have an interest and enthusiasm for learning about financial markets (previous experience not required)

While we are serious about our work at Vatic, we also promote a fun environment!

You can expect:

  • Ping pong and poker games
  • Fun team outings
  • Unlimited office snacks
  • Free breakfast, lunch, and dinner

The base salary range for this role is between $3000 and $4500 weekly. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits.  Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

Top Skills

AI
C++
Deep Learning
Linux
Machine Learning
Numpy
Python
Scipy
Time-Series Analysis
HQ

Vatic Investments New York, New York, USA Office

New York, NY, United States

Similar Jobs

3 Days Ago
Easy Apply
In-Office
New York, NY, USA
Easy Apply
3K-5K Hourly
Internship
3K-5K Hourly
Internship
Machine Learning • Software • Financial Services
As a Quantitative Research Intern, you will research and develop autonomous trading strategies using AI and machine learning on large datasets, collaborating with experts in the field.
Top Skills: AIC++Deep LearningLinuxMachine LearningNumpyPythonScipy
13 Days Ago
Easy Apply
In-Office
New York, NY, USA
Easy Apply
480K-600K Annually
Junior
480K-600K Annually
Junior
Financial Services
AI Residents will develop machine learning algorithms, engage in research, and collaborate with quantitative teams to drive innovation in finance.
Top Skills: Python
5 Minutes Ago
Hybrid
2 Locations
79K-131K Annually
Mid level
79K-131K Annually
Mid level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Consultant will aid in marketing analytics and consulting, translating business needs into data strategies, and delivering insights for clients.
Top Skills: ExcelPowerPoint

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account