Quantitative Research Analyst - Jersey City, NJ

Quant Blueprint LLC; New York (NY); On-site; USD 136,500 - 204,750; Full time

Benefits offered by this job

Fun work environment

Ping pong and poker games

Unlimited office snacks

Free meals

Job summary

Vatic Labs, a quantitative trading firm in New York, is looking for a Quantitative Research Intern to work with top-tier researchers and technologists. This internship involves contributing to the research and development of autonomous trading agents by analyzing market data using advanced statistical and machine learning techniques.

The ideal candidate will hold a PhD or Master's in a relevant field and possess solid coding skills in C++ or Python within a Linux environment. Compensation ranges from $3000 to $4500 weekly, including perks like unlimited office snacks and team outings.

Qualifications

• Earned or will earn a PhD or Master's Degree in a relevant field.
• Experience coding in C++ or Python in a Linux environment.
• Knowledge of deep learning and machine learning algorithms.

Responsibilities

• Contributing to autonomous trading agent research.
• Analyzing vast market datasets.
• Applying machine learning algorithms to discover trading opportunities.

Skills

Coding in C++ or Python

Statistical analysis

Machine learning algorithms

Time-series analysis

Numerical analysis

Education

PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics

Tools

Linux

Python (numpy/scipy stack)

Job description

Overview

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.

Role

As an Quantitative Research 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.

Approach and Environment

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.

Responsibilities and Qualifications

• 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 NIPS, ICML, etc.
• Have an interest and enthusiasm for learning about financial markets (previous experience not required)

Perks and Culture

• While we are serious about our work at Vatic, we also promote a fun environment!
• Ping pong and poker games
• Fun team outings
• Unlimited office snacks
• Free breakfast, lunch, and dinner

Compensation

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.