Data Scientist (Quantitative Analyst)

Reposted 14 Days Ago
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Dubai
Entry level
Software • Financial Services
The Role
As a Data Scientist, analyze trading data, provide insights for strategies, build dashboards, and conduct A/B testing to enhance trading performance and decision-making.
Summary Generated by Built In

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.

Role Overview

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 ResponsibilitiesAnalyze 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 QualificationsEducational 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. 

Top Skills

Clickhouse
Elk Stack
Grafana
Metabase
Numpy
Pandas
Python
S3
SQL
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The Company
Dubai
12 Employees
Year Founded: 2017

What We Do

Since 2017, Sparkland has been allowing exceptional people to reshape the landscape of high-frequency trading. As a proprietary trading firm, we are free from the risks tied to managing clients' investments, remaining accountable solely to our highest standards. We use our own capital, relying on advanced mathematical models and complex trading strategies, which we build, test, and continuously refine.

Our unique approach helped us maintain profitability from the first month of creation for 7 straight years. Currently, we trade up to 6% of the trading volume on major exchanges. Recognizing our strengths, we collaborate with top-tier talent, fostering an exquisite team of professionals from EU, Middle East and Asia.

At Sparkland, we put our teammates first, offering them extraordinary opportunities, financial growth, and regular 'workations.' With a flat organizational structure and an open culture, we are committed to creating state-of-the-art technology alongside the finest experts in the world. Join us in shaping the future

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