Sparkland Trading

About Sparkland Trading

Transforming financial markets with advanced trading algorithms

Key Highlights

  • Headquartered in New York City with a global trading presence
  • Over 10 years of experience in high-frequency trading
  • Consistent participation in market-maker programs
  • Proprietary algorithms trading 24/7 on major exchanges

Sparkland Trading is a leading high-frequency trading firm specializing in proprietary algorithms that operate 24/7 across major exchanges. With over 10 years of experience, Sparkland has established itself as a successful market maker, consistently achieving high trading volumes and enhancing marke...

🎁 Benefits

Employees at Sparkland enjoy competitive salaries, performance-based bonuses, equity options, flexible PTO, and a remote work policy that supports wor...

🌟 Culture

Sparkland fosters a culture of innovation and agility, focusing on data-driven decision-making and continuous improvement in trading strategies. The t...

Overview

Sparkland Trading is hiring a Data Scientist to analyze trading and market data, providing actionable insights to enhance trading performance. You'll work with SQL, A/B Testing, and Business Intelligence tools. This position requires experience in data analysis and a strong understanding of trading strategies.

Job Description

Who you are

You have a strong background in data science with experience in analyzing large datasets to uncover insights that drive strategic decision-making. Your analytical skills allow you to identify patterns and trends that impact trading performance, and you are proficient in SQL and Python for data manipulation and analysis. You understand the importance of collaboration, working closely with trading teams to refine strategies and enhance operations through custom data analysis. Your experience with A/B testing enables you to measure the performance of trading strategies and provide actionable recommendations for optimization.

You thrive in a remote work environment and appreciate a flat corporate structure that values open-mindedness and continuous learning. You are committed to excellence and have a passion for technology and algorithmic trading. You are eager to learn cutting-edge technologies and methodologies that can enhance your work and contribute to the team's success.

Desirable

Experience with Business Intelligence tools is a plus, as you will be responsible for developing and maintaining dashboards to track trading performance and operational KPIs. Familiarity with algorithmic trading and high-frequency trading (HFT) environments will help you excel in this role.

What you'll do

As a Data Scientist at Sparkland Trading, you will play a pivotal role in transforming complex trading data into actionable insights. You will analyze trading and market data to uncover insights that enhance operational efficiency and drive strategic decision-making. Your work will directly influence trading performance and business growth. You will collaborate with the trading team to enhance strategies and operations through custom data analysis, ensuring that insights are timely and relevant for real-time decision-making.

You will develop, maintain, and improve dashboards using Business Intelligence tools to track trading performance and operational KPIs. Working closely with traders, you will refine reporting needs and deliver scalable solutions that meet the demands of a fast-paced trading environment. Additionally, you will implement and run A/B tests to measure the performance of trading strategies, algorithms, and operational processes, interpreting results to provide actionable recommendations for optimizing system performance.

What we offer

At Sparkland Trading, you will have the opportunity to work with some of the brightest minds in the industry, tackling intellectually challenging problems in one of the world’s fastest-growing sectors. We offer competitive compensation and performance-based incentives, along with an attractive relocation package if needed. You will also have the chance to explore unique locations worldwide, immersing yourself in local cultures while building strong relationships with your colleagues. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and a commitment to growth.

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