Senior Machine Learning Engineer, Client Insights

Job Overview

Alloy is seeking a Senior Machine Learning Engineer to join the Client Insights team in New York City. The role focuses on leveraging analytics and data science to enhance client engagement and detect fraud. The ideal candidate will apply statistical and machine learning methods to develop customer-facing models, operationalize them in collaboration with application engineers, and innovate on existing methodologies. This position offers an opportunity to contribute to a team dedicated to improving data-driven features and workflows in the financial sector.

Technical Requirements

Responsibilities

• • Apply statistical and machine learning methods to build customer-facing models.
• • Collaborate with application engineers to operationalize models and ensure performance tracking.
• • Innovate on existing models and methodologies.
• • Establish data governance and standardization.
• • Produce documentation for data pipelines.
• • Partner with engineering and product leads for roadmap planning.
• • Anticipate support and maintenance needs for data-driven features.
• • Analyze data sets to inform product roadmaps.
• • Develop optimization models for fraud and compliance workflows.
• • Utilize heuristics and anomaly detection for fraud prediction.
• • Conduct analyses for new customer use cases.

Technical Environment

Benefits & Perks

• • Unlimited PTO and flexible work policy
• • Employee stock options
• • Medical, dental, vision plans with HSA and FSA options
• • 401k with 100% match up to 4%
• • 16 weeks of paid parental leave for eligible new parents
• • Home office stipend for new employees
• • Annual Learning & Development stipend
• • Access to well-being benefits including ClassPass and OneMedical
• • Hybrid work environment