Posted:
10/28/2024, 5:00:00 PM
Location(s):
Hong Kong, China
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
Software Engineering
Reports to:
Director, Product Management, RiskWe are seeking a passionate and experienced Quantitative Analyst to join the Bullish team.
Bullish is actively expanding its product offerings and is looking for an experienced Quantitative Analyst to enhance our approach to financial risk modeling and analysis across the Bullish Exchange business. In this role, you will partner with Bullish Risk Management and work closely with Bullish Product Management and Risk Engineering teams to advance strategic business initiatives including the development of ongoing financial risk management.
This position is an exciting opportunity for someone with a strong background in traditional finance who is seeking an opportunity to apply such knowledge to the digital asset industry.
Develop enhanced risk methodologies and quantitative analysis to model and quantify financial risk exposures related to exchange-traded derivatives at a regulated exchange.
Implement and maintain financial risk models that support the measurement and ongoing management of market risk, credit risk, collateral risk, and liquidity risk, consistent with regulatory expectations.
Develop quantitative analysis to support primary inputs and risk parameters (eg, data aggregation, risk analysis, stress-testing) related to implementation and ongoing management of risk models.
Contribute to product development initiatives and work closely with Product Management and Risk Engineering teams to integrate risk management practices into the product development lifecycle.
Contribute to and support internal/external risk assessments to demonstrate risk model performance and adherence to internal policy and external/regulatory standards.
Contribute to and support internal/external engagement with management, regulators, and members regarding risk models as well as prospective enhancements to further align to best/emerging practices.
Assess current and evolving industry and regulatory best practices and policy initiatives to ensure the risk methodologies remain fit for purpose.
Contribute to the culture of risk management within Bullish.
Advanced degree in a quantitative field such as quantitative finance, mathematics, computer science, or related discipline.
Proficient VBA/Python programming
Extensive understanding of finance risk modeling of derivatives (futures, options), stress-testing and portfolio analysis to assess financial exposure.
Strong expertise in developing risk approaches/methodologies and risk models as part of derivatives risk management
Proficiency in statistical modeling and data analysis techniques, including time series analysis, regression analysis, machine learning, and optimization methods.
Comfortable working in a dynamic organization where priorities can change frequently.
Strong analytical and mathematical skills
Strong communication skills, with the ability to effectively present complex concepts and findings to both technical and non-technical audiences.
Self-starter, problem solving mindset.
In-depth knowledge of blockchain technology, crypto currencies, automated market makers and digital asset exchanges (both CEX and DEX).
Passion for the digital asset industry, proactive approach to learning, and a keen interest in staying up-to-date with the latest trends and developments.
Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.
Website: https://bullish.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 251-500
Year Founded: 2018
IPO Status: Private
Last Funding Type: Seed
Industries: Financial Services ⋅ Information Technology