3–5 years of experience developing and deploying AI/ML solutions, including LLMs and NLP., Strong programming skills in Python and SQL, with experience in data science libraries like Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow., Solid background in quantitative finance, statistics, or applied mathematics; familiarity with trading data and market microstructure is a plus., Experience deploying models in real-time or production environments, with knowledge of cloud platforms and regulatory frameworks..
Key responsibilities:
Develop and implement AI/ML models to enhance risk analytics and decision-making.
Analyze large datasets to detect patterns, anomalies, and emerging risks.
Design and deploy generative AI, LLMs, and NLP solutions for risk reporting and trader analysis.
Collaborate with teams to integrate AI systems into existing risk management infrastructure.
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The exchange team develops and maintain a cutting-edge trading platform. With a global presence across APAC, EMEA and North America, the team has since grown with the goal to provide a seamless and secure trading experience for our clients.
We are seeking a highly skilled and innovative key contributor to join our risk department, to help drive the AI innovation for data analytics and risk management across Crypto.com Derivatives North America Exchange and Clearing business.
Responsibilities
Develop and implement AI/ML models and tools to enhance data and risk analytics, portfolio risk analysis, real-time monitoring, and decision-making automation;
Analyze large-scale structured and unstructured datasets including trading activity, market data, news, and regulatory filings to detect patterns, anomalies, and emerging risks;
Drive the design and deployment of generative AI, large language models (LLMs), and NLP solutions for risk reporting, trader behavior analysis, and regulatory intelligence;
Collaborate with risk managers, quantitative analysts, and engineering teams to integrate scalable, production-grade AI systems and tools into the existing systems;
Drive applied research initiatives in cutting-edge AI to continuously improve data and risk management capabilities.
Requirements
3–5 years of hands-on experience developing and deploying AI/ML solutions, including LLMs, NLP, or agent-based systems (minimum 1 year required);
Strong programming skills in Python and SQL, with experience in data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow);
Solid background in quantitative finance, statistics, or applied mathematics; familiarity with trading data, derivatives, and market microstructure is a plus;
Experience deploying models in real-time or production environments; familiarity with cloud platforms and regulatory frameworks (e.g., CFTC, SEC) is a plus;
Proven ability to translate research and emerging AI technologies (including generative AI and LLMs) into practical, scalable solutions;
Effective collaborator with excellent problem-solving skills and the ability to work across technical, quantitative, and business teams.
Founded in 2016, Crypto.com serves more than 80 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet™. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.
Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team.
Personal data provided by applicants will be used for recruitment purposes only.
Please note that only shortlisted candidates will be contacted.
Required profile
Experience
Level of experience:Mid-level (2-5 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.