Core Quantitative Developer

Who are we?

FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever-evolving cryptocurrency landscape.

Impact

At FalconX, you’ll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company’s trading strategies according to our core values - speed, transparency and trust.

As a core quant developer you’ll:

As a Quant Developer you’ll be focused on end to end ownership of electronic products and services. You will play a critical role in developing models and strategies to manage and mitigate financial risks associated with complex trading. You will work closely with cross-functional teams to ensure robust risk management frameworks are in place.You will ensure the pricing and risk management framework of our electronic products are up to the highest standards.

Key Responsibilities

• Model Development: Design and implement quantitative models to assess and manage financial risks, including market, credit, and operational risks.
• Pricing and Risk Pipeline development: Conduct comprehensive risk assessments of our electronic pricing pipelines and scenario analyses to identify potential vulnerabilities and develop mitigation strategies.
• Data Analysis: Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets and extract actionable insights.
• Collaboration: Work closely with traders, product managers, and other researchers to integrate risk management solutions into trading strategies.

Qualifications

• Advanced Degree: Master's or Ph.D. in Mathematics, Statistics, Finance, or a related field.
• Technical Proficiency:
  • Strong experience with programming languages such as Python, R, or MATLAB.
  • Familiarity with financial instruments, derivatives, and risk management frameworks.
• Analytical Skills: Strong problem-solving skills with a focus on delivering high-quality research and insights.
• Communication: Excellent communication skills with a collaborative mindset and attention to detail.
• Adaptability: Ability to thrive in a fast-paced, agile environment and adapt to changing priorities.

Bonus Criteria

• Experience with exotic products
• Experience with infrastructure systems.
• Experience managing risk
• Experience with numerical methods and optimization
• Experience with React

The base pay for this role is expected to be between $213,000 and $240,000 in the New York City Area. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as location, skillset, experience, qualifications and the level at which the candidate is hired.