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Algorithmic Trader at Sparkland

Sparkland·

Role details

Work type
Onsite

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.

The role

We are looking for entrepreneurial, competitive, and analytical talent to join our Trading department. You do not need to have a financial background; we will teach you all you need to know. You will solve problems, create new tools, and/or design new strategies. If you have 1-3 years of experience coding, excellent mental arithmetic and analytical skills, and a genuine interest in learning algorithmic and quantitative trading you might be a good candidate for this role. Having trading knowledge or experience isn’t required for the role, but a genuine interest in learning algorithmic, high-frequency, and quantitative trading is helpful.

Responsibilities

  • Trade a wide range of financial instruments.
  • Develop, maintain and improve trading strategies and algorithms. Run trading desks.
  • Manage the execution and risk of complex trading portfolios.
  • Run projects with developers from the IT department.

Requirements

  • Education: Graduated in 2023–2025, preferably in a STEM field.
  • Skills: Strong mental arithmetic and analytical abilities (tested).
  • Coding: 1–3 years of experience in any programming language, including at least 1 year of professional/commercial work (tested).
  • Knowledge: Solid understanding of data structures, algorithms, and design patterns.
  • Language: Fluent in English.
  • Flexibility: Open to relocation to Dubai.

Bonus Points

  • Participation in national competitions is desirable.
  • High grades are a plus.
  • Trading knowledge or experience isn’t required, but a genuine interest in learning algorithmic, high-frequency, and quantitative trading is helpful.

What We Offer

  • Dynamic Work Environment: Join a thriving, multicultural team in one of the world’s most exciting and fast-growing industries.
  • Corporate Workations: Participate in regular company trips to unique global destinations where you can work, explore local cultures, and strengthen team bonds.
  • Personalized Mentorship: Receive guidance and support from experienced mentors to help you grow professionally.
  • Competitive Compensation: Enjoy a solid base salary and an annual performance-based bonus.
  • Generous Sign-On Bonus: Receive USD 4,000 on your first working day to cover initial expenses such as tickets and relocation.
  • Relocation Assistance: Comprehensive support with your employment visa and Emirates ID to ensure a smooth transition.

Why work at Sparkland

  • Culture & Autonomy: Flat organizational structure with an open culture where everyone’s opinions drive decisions. The company emphasizes hiring for mindset over experience, seeking "novices and newcomers" with the right attitude.
  • Flexibility: Flexible working hours within the Central European timezone; remote-friendly with a strong emphasis on asynchronous work.
  • Unique Perks:
    • Annual "Workations": Twice-a-year company-wide retreats to hang out in real life.
    • Relocation Packages: Full support for moving to the Dubai office.
    • Financial Growth: The firm is profitable and rewards team members with significant financial upside.
  • Engineering Excellence: Developers work on the full stack of a high-performance trading system, from infrastructure (Kubernetes, Terraform) to real-time data pipelines (Python, C++). The work is highly impactful—your code directly moves markets.
  • Team Composition: A small, elite team (7 people) with alumni from Google, Bloomberg, Hudson River Trading, and Deutsche Bank, providing a steep learning curve and high-caliber peer group.

Application questions