AI Scientist Consumer Risk & Fraud *** Direct End Client ***

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

AI Scientist
Machine Learning Engineer
Fraud Detection
Credit Risk Modeling
Python
SQL
TensorFlow
PyTorch
Deep Learning
NLP
Time Series Analysis
MLOps
Vertex AI
SageMaker
Apache Airflow
Big Data
Financial Risk
Cloud Computing
AWS
GCP
Data Pipelines
Model Deployment
Risk Analytics
Graph Analysis
Fraud Prevention
Fintech AI
Predictive Modeling
Statistical Analysis
CI/CD
Kubernetes
Data Engineering
A/B Testing
Amazon SageMaker
Analytics
Artificial Intelligence
Computer Science
Continuous Delivery
Machine Learning Operations (ML Ops)
Predictive Modelling
Regulatory Compliance
Research
Scalability
Statistics
Credit Risk
Amazon Web Services
Good Clinical Practice
Finance
Data Science
Natural Language Processing
Modeling
Time Series
Machine Learning (ML)
Fraud
Vertex

Job Details

We re seeking a seasoned AI Scientist to lead the development of advanced fraud detection and credit risk models for next-generation financial products. This role combines deep technical expertise with strategic thinking to build scalable, production-ready AI solutions that safeguard money movement systems and lending platforms.

What You ll Do

  • Own the end-to-end lifecycle of fraud risk models from design and development to deployment and monitoring.
  • Build efficient data pipelines for feature engineering, model training, scoring, and reporting using Python and SQL.
  • Apply cutting-edge machine learning techniques (deep learning, tree-based models, NLP, time series, causal inference) to detect fraud patterns.
  • Collaborate with product, engineering, and risk teams to align models with business objectives and compliance standards.
  • Ensure model fairness, interpretability, and regulatory compliance in all deployments.
  • Research and implement innovative AI/ML approaches to improve detection accuracy and scalability.
  • Contribute to MLOps best practices, including automated retraining, monitoring, and version control.

Required Qualifications

  • Advanced degree (MS/PhD) in Computer Science, Data Science, AI, Statistics, or related field.
  • 6+ years of experience in AI/ML model development and deployment.
  • Strong proficiency in Python and SQL.
  • Expertise in fraud risk modeling, credit risk, and financial transaction systems.
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS or Google Cloud Platform).
  • Deep understanding of model calibration, bias correction, and graph-based fraud detection.
  • Proven ability to design scalable pipelines and work in agile environments.

Preferred Skills

  • Experience with Vertex AI, SageMaker, or similar MLOps platforms.
  • Familiarity with workflow orchestration tools (Apache Airflow).
  • Strong background in A/B testing and statistical experimentation.

Why This Role Matters

You ll be solving complex, high-impact problems that protect customers and enable secure financial transactions. If you thrive in fast-paced environments and love applying AI to real-world challenges, this is your opportunity to make a measurable difference.

AI Scientist, Machine Learning Engineer, Fraud Detection, Credit Risk Modeling, Python, SQL, TensorFlow, PyTorch, Deep Learning, NLP, Time Series Analysis, MLOps, Vertex AI, SageMaker, Apache Airflow, Big Data, Financial Risk, Cloud Computing, AWS, Google Cloud Platform, Data Pipelines, Model Deployment, Risk Analytics, Graph Analysis, Fraud Prevention, Fintech AI, Predictive Modeling, Statistical Analysis, CI/CD, Kubernetes, Data Engineering

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