Sparkland

Algorithmic Trader

Sparkland  •  $66k/yr  •  Dubai, AE (Remote)  •  2 months ago
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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 2022–2024, 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 base salary of USD 5,500 per month plus 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.
Sparkland

About Sparkland

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

Industry
Finance & Insurance
Company Size
11-50 employees
Headquarters
Dubai, AE
Year Founded
2017
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