Quantitative Researcher

Binance; Deutschland; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading blockchain ecosystem is looking for a quantitative researcher/analyst to engage in risk management and trading strategies. You will collaborate with development teams to implement innovative financial solutions. Ideal candidates should have a master's degree in mathematics or statistics, a strong proficiency in Python, and at least 2 years of relevant experience. The company offers a competitive salary, benefits, and flexible work-from-home arrangements aligned with team needs.

Leistungen

Competitive salary

Company benefits

Work-from-home arrangement

Qualifikationen

• 2+ years of experience in quantitative researcher/analyst position.
• Proven track record of good academic achievement and great learning skills.
• Love to solve challenging problems and work in a fast-paced environment.

Aufgaben

• Responsible for pricing, risk management and agency trading strategies ideation.
• Interact directly with the development team for implementation.
• Participate in all stages of new product development.

Kenntnisse

Quantitative analysis

Problem-solving

Fluency in English

Programming in Python

Ausbildung

Master degree in mathematics/statistics or relevant area

Tools

Machine Learning algorithms

Jobbeschreibung

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry‑leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital‑asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities

• Responsible for pricing, risk management and agency trading strategies ideation, design, back‑testing, and implementation
• Interact directly with the development team to ensure a smooth and agile implementation process into the trading platform
• Participate in all the stages of the development of new products. Including: ideation, modeling, risk management and parameter tuning

Requirements

• 2+ years of experience in a quantitative researcher/analyst position
• Master degree or higher in mathematics/statistics or similar relevant area of study required
• Proven track record of good academic achievement and great learning skills, love to solve challenging problems and work in a fast‑paced environment
• Familiar with at least one programming tool for analysis. Python is strongly preferred
• Experience with hedge/mutual fund, trading house, brokerage or investment banks is advantageous
• Familiar with trading data processing, price prediction etc is advantageous
• Experience with Machine Learning algorithms is advantageous
• Understanding of DEX trading is advantageous
• Fluency in English is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage

Why Binance

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world‑class talent in a user‑centric global organization with a flat structure
• Tackle unique, fast‑paced projects with autonomy in an innovative environment
• Thrive in a results‑driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work‑from‑home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.