Senior Fraud ML Scientist – Real‑Time Risk & Detection
Alloy
New York (NY)
Hybrid
USD 212,000 - 251,000
Full time
14 days+
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Benefits offered by this job
Unlimited PTO
Employee stock options
Medical, dental, vision plans
401k with 100% match
16 weeks paid parental leave
Home office stipend
Annual Learning & Development stipend
Well-being benefits including ClassPass
Job summary
A financial technology company in New York City is looking for an experienced professional in applied fraud research and machine learning. The role involves designing and evaluating machine learning models to enhance fraud detection capabilities. Candidates should have over 8 years of experience, expertise in Python and SQL, and a strong understanding of data processing at scale. All employees collaborate in a hybrid work environment, and the position offers competitive perks including equity options and 401k matching.
Qualifications
8+ years as an individual contributor in Applied Fraud Research or Data Science.
Expertise in tree-based models and handling imbalanced datasets.
Proven ability to process and think about data at scale.
Responsibilities
Contribute to the design and evaluation of machine learning models for fraud detection.
Document findings and communicate insights to internal teams.
Maintain model documentation to ensure compliance.
Skills
Applied Fraud Research
Data Science
Machine Learning
Python
SQL
Education
Advanced Degree (Masters or PhD) in a quantitative field
Tools
BI tools like Looker
Job description
A financial technology company in New York City is looking for an experienced professional in applied fraud research and machine learning. The role involves designing and evaluating machine learning models to enhance fraud detection capabilities. Candidates should have over 8 years of experience, expertise in Python and SQL, and a strong understanding of data processing at scale. All employees collaborate in a hybrid work environment, and the position offers competitive perks including equity options and 401k matching.