AI/ML Engineer– ALM / Risk Specialisation– Fintech/Regtech

Job Title: AI/ML Engineer– ALM / Risk Specialisation– Fintech/Regtech

Location: Singapore

Work set-up: Hybrid

Employment Type: Full-Time

Team: Research & Product Development

> About Scenario-X

At Scenario X, we are forging new paths in the financial industry by integrating quantum computing and AI/ML into financial modelling, risk assessment, and portfolio optimisation. Our goal is to harness the unprecedented capabilities of quantum algorithms to tackle complex economic challenges and provide our clients with next-generation financial tools that outperform traditional methods and unlock new market opportunities.

We’re backed by top-tier investors and collaborate with leading quantum hardware providers. Three years after its creation, Scenario-X is reaching over US$1 million in annual sales, and our pipeline is expanding fast. Now, we’re looking for a visionary and team-oriented Lead Quantum Researcher to push the boundaries of what’s possible in financial computation.

> Why Join Us?

This is an opportunity to be at the vanguard of a quantum revolution in finance. At Scenario X, you’ll work alongside thought leaders and innovators to reshape the landscape of financial risk management. If you have a passion for Quantum and AI/ML technology and a vision to disrupt the status quo, come and make your mark with us.

> What You’ll Do

As an AI/ML Engineer, you’ll architect and deploy intelligent systems that power our financial and risk applications. You’ll work at the intersection of finance, regulation, and machine learning—solving complex problems with robust and scalable solutions fast for our diverse portfolio of clients.

>> Key Responsibilities

• Design, build, and optimise ML models for securities and derivatives pricing.
• Develop NLP pipelines for document parsing, entity recognition, and compliance monitoring
• Collaborate with data scientists and software engineers to integrate models into production systems
• Implement experimentation, model evaluation, and A/B testing to drive performance improvements
• Stay ahead of emerging trends in AI/ML, fintech, and regtech—and bring new ideas to the table
• Contribute to a culture of technical excellence

> What We’re Looking For

>> Required Skills & Experience

• 3+ years of experience in AI/ML engineering, with a proven track record of deploying models in production
• Expertise in supervised and unsupervised learning, anomaly detection, and NLP
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face)
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., MLflow, Kubeflow)
• Fair problem-solving, communication, and leadership skills

>> Bonus Points

• Experience with graph-based models or time-series forecasting
• Understanding of financial securities and derivatives
• Exposure to financial instrument risk-based pricing (e.g., Black-Scholes, Greeks, VaR)
• Exposure to a bank’s balance sheet (e.g., main instruments, solvency and liquidity ratios, maturity mismatch and other risks)
• Familiarity with regulatory frameworks (e.g., Basel III, MiFID II, GDPR)
• Certifications such as CFA / FRM / CQF would be an asset
• Team-player attitude
• Open to travel

> What We Offer

• Competitive salary + equity package
• Flexible working hours and a remote-friendly culture
• Access to cutting-edge tools and datasets
• A collaborative, mission-driven team that values curiosity and impact

> How to Apply

Send your CV, a brief cover letter, and links to any relevant publications or projects to [email protected]. We’re excited to see how you’ll help shape the future of finance.