Senior AI / ML Financial Engineer

SCENARIO-X PTE. LTD.; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Job summary

A pioneering fintech company in Singapore is seeking a Senior AI/ML Engineer to architect and deploy intelligent systems for financial applications. The role involves designing ML models, developing NLP pipelines, and collaborating with engineering teams. Ideal candidates have 8+ years in AI/ML engineering, expertise in Python, and strong leadership skills. This full-time position offers a hybrid work setup and a competitive salary with equity package.

Benefits

Competitive salary + equity package

Flexible working hours

Access to cutting-edge tools

Qualifications

• 8+ years of experience in AI/ML engineering.
• Deep expertise in supervised and unsupervised learning.
• Experience with cloud platforms and MLOps tools.

Responsibilities

• Design and optimise ML models for financial applications.
• Develop NLP pipelines for document parsing.
• Collaborate to integrate models into production systems.

Skills

AI/ML engineering

NLP

Python

Machine Learning frameworks

Problem-solving

Leadership

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

GCP

Azure

Job description

Job Title: Senior AI/ML Engineer– 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 a Senior 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, portfolio optimisation, balance sheet and risk management.
• Develop NLP pipelines for document parsing, entity recognition, and compliance monitoring.
• Collaborate with data scientists and software engineers to integrate models into production systems.
• Lead 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.
• Mentor junior engineers and contribute to a culture of technical excellence.

What We’re Looking For

Required Skills & Experience

• 8+ years of experience in AI/ML engineering, with a strong track record of deploying models in production.
• Deep 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).
• Strong understanding of financial systems, regulatory requirements, or risk analytics.
• Excellent problem-solving, communication, and leadership skills.

Bonus Points

• CQF certification.
• Experience with graph-based models or time-series forecasting.
• Familiarity with regulatory frameworks (e.g., Basel III, MiFID II, GDPR).
• Exposure to financial instrument risk-based pricing (e.g., Black‑Scholes, Greeks, VaR).
• Other certifications, such as CFA or FRM 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 [e-mail]. We’re excited to see how you’ll help shape the future of finance.