Quantitative Developer

B2C2; New Jersey; On-site; USD 150,000 - 170,000; Full time

Job summary

B2C2 is seeking a Quant Developer to work with traders to enhance algorithms for trading products. The role requires a strong technical foundation and trading knowledge to optimize pricing and liquidity solutions. Ideal candidates will possess deep expertise in Java and Python, with a focus on risk management and high-pressure environments.

Qualifications

• 2+ years in trading firm, direct pricing & trading flow experience.
• 2-5 years advanced Java development, OOP principles knowledge.
• Proficiency in Python (NumPy, SciPy, Pandas) for data analysis.

Responsibilities

• Develop and optimize OTC client pricing framework.
• Research and implement pricing strategies.
• Collaborate with Quant Research team to model pricing strategies.

Skills

Java

Python

Risk Management

Communication

Entrepreneurial Mindset

Job description

Founded in 2015, B2C2 is a global leader for institutional liquidity within digital assets. We bring 24/7 365 days a year deep, reliable pricing for spot, futures, options, CFDs, and NDFs across all market conditions. Our growing team has deep expertise across pricing, structuring, risk, systems, and regulation.

B2C2 bridges the gap between traditional financial and digital assets, and is relied upon by brokerages, exchanges, banks, fund managers, and other institutions to provide 24/7 liquidity. Headquartered in London, with global offices in Paris, Jersey City, Tokyo, Singapore, and Luxembourg, our fast-growing team has expertise in traditional financial and crypto markets.

We pride ourselves on our company culture and ability to attract not only the top talent but the right people. If you are looking for a role in an exciting new industry, at a dynamic company please keep reading.

About the role:

As a Quant Developer, you will work alongside experienced traders and skilled tech professionals to develop and refine algorithms for spot and derivative products. At the heart of the trading floor, the team specialises in OTC pricing, exchange trading strategies, and global risk management.

Scope of role:

We are seeking a highly skilled Quant Developer to play a key role in optimizing our 24/7 OTC trading stack. This fast-paced role requires a strong technical foundation and deep trading knowledge to develop and enhance mission-critical pricing and liquidity solutions across all market conditions and instruments.

Duties and Responsibilities:

As a Quant Developer, you will work at the intersection of technology, research, and trading, collaborating closely with the Quant Research team to model, validate, and implement cutting-edge pricing strategies. This role offers a unique opportunity to contribute to the evolution of our algorithmic trading capabilities, leveraging data-driven insights and state-of-the-art technology.

• Develop and optimize our OTC client pricing framework.
• Research and implement sophisticated pricing strategies.
• Design and backtest Alpha Signals for competitive market execution.
• Enhance trade execution efficiency through advanced analytics.
• Implement risk management measures to ensure trading safety.
• Optimize performance & conduct stress-testing for robust, high-availability systems.

Required Skills and experience:

• 2+ years of experience in trading firm.
• Direct exposure to client pricing & trading flow analysis is required.
• 2 - 5 years of advanced Java development, with good knowledge and experience in:
• OOP principles and design patterns.
• Experience with databases, particularly SQL or time-series databases.
• Proficiency in Python (NumPy, SciPy, Pandas) for data analysis.
• Linux expertise and experience working in globally distributed environments.
• Proximity to trading or sales teams and a deep understanding of financial markets.
• Excellent communication skills and the ability to thrive in a high-pressure, fast-moving environment.
• Entrepreneurial mindset with strong intuition for risk and opportunity.

Nice to have:

• Experience with KDB+ Q or any functional programming language (Haskell, R, APL).
• Machine learning knowledge (scikit-learn, etc.).
• Mathematical background and experience with quantitative analysis tools.
• Docker, Kubernetes, and cloud infrastructure (AWS or equivalent).

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Financial Services and Capital Markets

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