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Algorithmic Trader

Talentmate

United Arab Emirates

9th October 2026

2610-13939-9

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.

Job Details

Role Level:	Associate	Work Type:	Full-Time
Country:	United Arab Emirates	City:	Dubai
Company Website:	http://www.sparkland.io	Job Function:	Sales
Company Industry/ Sector:	Capital Markets

What We Offer

About the Company

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