QCP is Asia's leading digital asset partner, empowering clients to seamlessly integrate digital assets into their portfolios.

We offer a comprehensive range of solutions - from spot on/off ramping and fixed income strategies to vanilla options and bespoke exotics.

Driven by the vision to be the most trusted partner in digital asset markets, we provide innovative solutions that make digital assets a core component of every portfolio, balance sheet, and treasury.

Since our founding in 2017, we have witnessed the potential of digital assets to transform financial markets and the world at large. We exist at the centre of change, successfully navigating three market cycles and bridging institutional and crypto ecosystems.

We work to build trusted partnerships, putting client success and care at the heart of everything that we do.

Responsibilities: 

You will play a crucial role in developing, implementing, and maintaining compliance and anti-money-laundering (AML) analytics that align with the our compliance management strategy. You will collaborate with cross-functional teams, utilizing your expertise in statistical and quantitative modeling, machine learning, programming, and business analytics to develop risk models that enhance our ability to assess and manage various types of risks effectively.

• Design, develop, and implement risk models (for customer due diligence, transaction monitoring & etc)
• Utilize statistical and quantitative techniques, machine learning algorithms, and data analytics to enhance the predictive power and accuracy of risk models.
• Conduct thorough data analysis to identify key variables and market trends that impact compliance and AML
• Work closely with product manager to ensure the availability and quality of data required for model development.
• Code and implement risk models using programming languages such as Python, R, or other relevant languages.
• Collaborate with product manager and IT team to integrate models into the organization's systems and ensure seamless execution.
• Perform ongoing validation and back-testing of risk models to ensure accuracy, relevance, and compliance with regulatory requirements.
• Identify and address any issues or weaknesses in the models through continuous monitoring and improvement processes.
• Prepare comprehensive documentation for risk models, methodologies, and validation processes.
• Ensure compliance with internal policies and regulatory guidelines.
• Communicate model findings and recommendations effectively to both technical and non-technical stakeholders.

• Bachelor's or Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Finance, or related discipline.
• Ideally at least 1-year experience in data analytics, risk modeling within the financial industry.
• Experience with compliance and AML is a plus
• Strong proficiency in programming languages such as Python, R, or other relevant languages.
• Familiarity with machine learning techniques and statistical modeling.
• Excellent analytical and problem-solving skills.

The Environment We Offer

As a growing firm with a tightly-knit team, we respect and listen to all our employees. You will get the chance to make an impact by having your voice heard by everyone, including the management.

Our employees enjoy a high level of autonomy at work. We focus on substance, not form - as long as you can perform, you will be recognized and rewarded. We are also dedicated to supporting our staff and ensuring they develop holistically to maximize their potential in the long- term.

We also provide flexible working arrangement as required and a casual and fun environment to boot!