Quantitative Trader

Vatic Labs; New York (NY); On-site; USD 175,000 - 250,000; Full time

Job summary

An innovative firm is seeking a Quantitative Trader to develop and implement cutting-edge trading strategies. This role offers the unique opportunity to leverage advanced machine learning techniques and statistical methods to drive profitability. You will collaborate with a talented team of traders and researchers in a dynamic environment that fosters creativity and growth. If you have a passion for the markets and a strong analytical background, this position promises to be both challenging and rewarding, allowing you to make a significant impact on trading outcomes.

Benefits

Unlimited office snacks

Free breakfast, lunch, and dinner

Gym membership

Fun team outings

Ping pong and poker games

Full health insurance coverage

Qualifications

• Strong analytical skills with a focus on statistical methods.
• Ability to develop fast algorithms for trading strategies.

Responsibilities

• Research and develop innovative quantitative trading strategies.
• Analyze large datasets to identify trading opportunities.

Skills

Machine Learning

Statistical Analysis

Algorithm Design

Data Structures Optimization

Game Theory

Behavioral Economics

Python

C++

Education

Bachelor's Degree in Economics

Master's Degree in Mathematics

Relevant Degree from Top-Tier University

Job description

Join to apply for the Quantitative Trader role at Vatic Labs

Join to apply for the Quantitative Trader role at Vatic Labs

As a Quantitative Trader at Vatic Labs, you will research and develop innovative quantitative trading strategies. You will explore vast amounts of market data, applying advanced machine learning/AI methods and statistical approaches to discover and capitalize on trading opportunities. You will be a driver of alpha and original ideas, and will have the potential to own entire strategies and the trading of certain asset classes. You will have the freedom and responsibility to increase PnL both independently from, and combined with the quality of forecasts done by the QR team.

Vatic Labs was founded by traders who are passionate about the markets. We obsess over developing rigorous approaches to scientifically understand market dynamics. A shared passion for the markets and uncompromising drive are key to success in this role.

The nature of the problems we work on are challenging, hence we hire some of the world's top talent to develop novel AI methods and trading strategies. Our team of talented traders, researchers and technologists have been recognized as leaders in their field. We are passionate about hiring the best and the brightest, and empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative, fostering innovation and growth.

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

• Earned or will earn an undergraduate or graduate degree in Economics, Mathematics, Statistics, or other relevant field from a top-tier university (focus on Game Theory or Behavioral Economics strongly preferred)
• Innate curiosity for understanding why and how the markets work
• Ability to design fast algorithms and optimize complex data-structures
• Experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression
• Familiarity with Python, C++, or related compiled languages
• Ability to work both independently and collaboratively
• Understand how to prioritize and execute tasks varying in importance and urgency
• World-class performance in games that require strategic thinking such as chess, poker, and/or e-sports strongly preferred
  
  

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
• Gym membership
• Full health insurance coverage for employees and dependents
  
  

The base salary range for this role is between $175,000 and $250,000. 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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

• Industries

  Technology, Information and Internet

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