Job Description

We are a team of highly-driven individuals who are passionate about technology, algorithmic trading, and solving intellectually challenging problems. Being a part of Sparkland means you get to work with some of the brightest people in one of the world’s fastest-growing and most exciting industries. We are fully remote and have a flat corporate structure that values open-mindedness, entrepreneurial spirit, commitment to excellence, and continuous learning.

As a Data Scientist, you will play a pivotal role in transforming complex trading data into actionable insights, enhancing operational efficiency, and driving strategic decision-making. Your work will directly influence trading performance and business growth.

Key Responsibilities

Analyze Trading and Market Data to Uncover Insights:

• Analyze large datasets to identify patterns, trends, and anomalies that impact trading performance.
• Provide quick and accurate insights for real-time decision-making and strategic initiatives.
• Collaborate with the trading team to enhance strategies and operations through custom data analysis.

Build Dashboards with BI Tools:

• Develop, maintain, and improve dashboards using Business Intelligence (BI) tools to track trading performance and operational KPIs.
• Work closely with traders to refine reporting needs and deliver scalable solutions.

Conduct A/B Testing for Projects:

• Implement and run A/B tests to measure the performance of trading strategies, algorithms, and operational processes.
• Interpret results to provide actionable recommendations for optimizing system performance.

Required Skills and Qualifications

Educational Background:

• Degree in Mathematics, Physics, Economics, or Computer Science.

Technical Skills:

• Basic understanding of software development principles.
• Proficiency in SQL for querying and analyzing large datasets.
• Experience with Python for data manipulation and visualization.

Analytical Skills:

• Strong knowledge of probability and statistics, including experimental design and inference.
• Understanding of concepts, workflows, and methods for managing large datasets using analytical and quantitative approaches.
• Experience working with time-series data.

Problem-Solving and Adaptability:

• Excellent problem-solving abilities with strong attention to detail.
• Proven ability to manage multiple responsibilities efficiently in a dynamic, collaborative environment.

Nice to Have:

• Experience in math competitions.
• Hands-on experience with Business Intelligence (BI) tools.
• Exposure to financial or trading data.
• Familiarity with market mechanics, trading strategies, or concepts in quantitative finance.

Technologies We Use

We store data in ClickHouse and S3, use Python ( pandas, numpy, etc.) and BI tools ( Metabase) for analysis, and employ the ELK stack and Grafana for working with logs.

What we offer

• The opportunity to work in a thriving, multicultural, fun environment in one of the world’s fastest-growing industries.
• Corporate workations: we regularly go on corporate trips to unique locations worldwide to work, explore the local culture, and get to know each other better.
• Opportunities to learn cutting-edge technologies and methodologies.
• Competitive compensation and performance-based incentives.
• The chance to work with talented professionals in the HFT and crypto trading space.
• An attractive relocation package if needed – tickets, employment visa, Emirates ID.