Senior Machine Learning Engineer

New Job: Senior Machine Learning Engineer – Client Insights
Location: New York City (Hybrid: Tues & Thurs in-office)
Salary: $180,000 – $250,000 + equity
Contract: Permanent

Orbis is working with a fast-scaling fintech that’s tackling identity risk in financial services. Backed by top-tier investors and recognised by Inc., Forbes, and American Banker as one of the best workplaces in fintech, they value bold thinking, rapid iteration, and building diverse, collaborative teams.

They’re now hiring a Senior Machine Learning Engineer to join their Client Insights team. This is a high-impact role that will see you own customer-facing models—from fraud detection to behavioural analytics—embedded directly into product features.

The Role

You’ll work cross-functionally to build, deploy, and maintain ML models that enhance fraud intelligence and client decisioning. Your work will inform product strategy, strengthen risk frameworks, and improve performance through measurable, real-time insights.

Key Responsibilities

• Build, deploy, and monitor ML models for fraud detection and customer analytics

• Partner with product, engineering, and risk teams to integrate ML into the core platform

• Develop retraining strategies and maintain robust monitoring pipelines

• Contribute to analytics-led decision-making for roadmap and feature development

Ideal Candidate Profile

• 5+ years’ experience in data science, ML engineering, or advanced analytics

• Strong Python and SQL skills; SageMaker experience preferred

• Proficient in supervised and unsupervised learning (classification, clustering, forecasting)

• Product-focused and collaborative—able to work closely with cross-functional teams

Bonus Points For

• Experience in fraud risk or financial services

• Familiarity with Airflow, Spark, dbt, Git, or Hex

• Previous startup or fast-paced environment experience

What’s on Offer

• Salary: $180,000–$250,000 + equity

• Unlimited PTO + flexible hybrid working

• 401(k) with employer match

• Premium healthcare (medical, dental, vision)

• HSA/FSA options + wellness benefits

• Annual L&D budget + home office stipend

• Catered lunches and regular team socials in NYC office

A fantastic opportunity to work on meaningful problems with real-world impact—building smarter, safer systems at the intersection of AI and finance.