Fraud Analytics

Fraud Analytics Engineer Jobs

5 jobs found

1mo ago

Machine Learning Engineer

GitHub, Inc. Remote 📍 United States Remote

Remote

1mo ago Closed

$108k - $286k/yr Full time Agentic Ai Ai Enabled Security Ai Security

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

GitHub, Inc. is seeking an experienced Machine Learning Engineer to design, build, and deploy agentic LLM-based solutions that help detect and prevent fraud, abuse, and security threats on GitHub at scale. This role also focuses on identifying vulnerabilities that enable abuse, performing ad-hoc analysis, and measuring the real-world impact of safety and integrity efforts.

Responsibilities

Design, build, and deploy agentic solutions that use large language models to detect and prevent fraud, abuse, and security threats at scale, including applications such as content classification and multi-step agentic investigation.
Build production-grade systems that run reliably against high-volume event streams, leveraging AI coding assistants to accelerate and improve engineering work.
Build and operate scalable ML systems on cloud platforms, including Azure AI Foundry, for training, deploying, and serving models and agentic solutions in production.
Evaluate and improve existing models and agentic solutions using offline evaluations (including tool-use loops and LLM-as-judge evaluation), performance metrics, and feedback from operational deployments.
Identify vulnerabilities in products that lead to abuse and consult with product teams when reviewing new features.
Collaborate with cross-functional partners such as data scientists, software engineers, product managers, and content moderators to integrate agentic solutions into production systems.
Document the systems you build and support the technical growth of peers.

Requirements

4+ years experience in machine learning, or a related field.
OR a Bachelor's Degree in Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field, plus 2+ years experience in machine learning, or a related field.
OR a Master's Degree in Machine Learning, Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field.
OR equivalent experience.
Strong understanding of large language models, including hands-on experience applying them at scale for classification, agentic workflows, or agents.
Strong software engineering skills, including experience building with AI coding assistants.
Experience designing or evaluating agentic systems such as tool-use loops, multi-step workflows, or LLM-as-judge evaluation.
Hands-on experience building and operating classification or detection systems at scale, including experience with imbalanced data and precision/recall tradeoffs.
Experience in Trust and Safety, National Security, or fighting spam, malware, fraud, and threat actor activity at scale.
Experience in responsible AI and Safety-by-Design.
Experience managing user data and privacy.
Solid understanding of machine learning algorithms (supervised and unsupervised learning, anomaly detection, etc.) and practical implementation.

Technologies

Large language models (LLMs)
Azure AI Foundry
Tool-use loops
LLM-as-judge evaluation
AI coding assistants
Machine learning
Precision/recall tradeoffs

What We Value

Collaboration: the best work is done together.
Empathy: putting people first.
Quality: setting the standard for excellence.
Positive Impact: making the world a better place through the work.
Shipping: creating things for the people using them.

Compensation

The base salary range for this job is USD $107,700.00 - USD $285,900.00 /Yr.

Locations

Remote (United States)

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1mo ago

Machine Learning Engineer

Photon New Jersey

New Jersey

1mo ago Closed

Full time Python Advanced Analytics Ai Ml

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Photon offers an onsite role in New Jersey that emphasizes collaboration, real-world impact, and continuous growth. As a Machine Learning Engineer, you will design and deploy analytics models that address concrete business challenges, partner with product and engineering teams to deliver end-to-end ML solutions, and push models into production. This position centers on practical application of statistics and machine learning using Python, Spark, and Databricks, with the opportunity to influence customer experiences and key business decisions.

Responsibilities

Analyze business use cases and craft analytics models using appropriate statistical and machine learning techniques tailored to specific needs.
Develop machine learning algorithms to personalize customer experiences and generate actionable insights.
Apply data mining and machine learning methods, including forecasting, prediction, segmentation, recommendation, and fraud detection.
Augment company data by integrating third-party sources to expand analytics capabilities.
Enhance data collection processes to capture information essential for analytics systems.
Prepare raw data for analysis by cleaning data, imputing missing values, and standardizing formats using Python data frameworks such as Pandas and NumPy.
Implement machine learning models with a focus on performance and scalability using PySpark in Databricks.
Design and build infrastructure to enable large-scale data analytics and experimentation.
Utilize tools like Jupyter Notebooks for data exploration and model development.

Requirements

Undergraduate or graduate degree in Computer Science, Mathematics, Physics, or related fields; PhD preferred but not necessary.
At least five years of experience in data analytics with a solid grounding in core statistical algorithms such as classification and regression.
Strong experience with Python based machine learning libraries including scikit-learn, TensorFlow, and PyTorch.
Proficiency with analytics platforms like Databricks for large-scale data processing.
At least four years of continuous experience with Spark, with emphasis on PySpark.
Hands-on experience with data processing and analysis tools such as Pandas, NumPy, and Jupyter Notebooks.

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1mo ago

Data Engineer

Information Technology Senior Management Forum Bloomington, IL 🇺🇸 Remote

Bloomington, IL

1mo ago Closed

$153k - $153k/yr Full time Big Data Claims Data Pipelines Data Analysis

This position is no longer accepting applications (closed Aug 22, 2026).

Job Description

Information Technology Senior Management Forum is seeking a Data Engineer to advance its data-driven approach to claims investigations and fraud detection. Based in Bloomington, IL with the option to work remotely within the United States, this role focuses on designing and implementing knowledge graph structures and applying advanced graph analytics. You will collaborate with cross-functional teams to turn complex data into scalable, compliant solutions across multiple platforms and compute environments.

Location

Bloomington, Illinois, with remote work options available within the United States.

Type

Full-time

Salary

Annual salary: 152,734 USD

Job ID

44799

Responsibilities

Design and implement sophisticated knowledge graph structures to boost claims investigations and fraud detection through advanced graph analytics.
Partner with cross-functional teams to enable data‑driven decision making and drive innovation.
Utilize industry-standard languages and frameworks across coding, testing, security, DevOps, DataOps, and data engineering using graph database technologies.
Develop and maintain reusable, scalable, and compliant data solutions spanning multiple platforms and compute environments.
Identify, acquire, cleanse, profile, and ETL data used in analytic discovery and production deployments across platforms.
Build business domain knowledge for existing State Farm data sources and evaluate, recommend, and initiate data resource acquisition, internally and externally.
Identify and advise on emerging technologies and core systems, including techniques, tools, data sources, and platforms in data engineering.
Handle datasets that combine structured and unstructured data.
Adopt a DataOps mindset to ensure data alignment with enterprise needs and leverage automation to deliver high-quality data solutions.
Gather information to understand customer technical needs, propose solutions, and develop implementation and integration plans.
Oversee analysis, design, deployment, support, and security of technology to ensure efficient management of technology and data assets in line with market best practices and regulations.
Apply a broad range of computer science principles to data engineering solutions.

Requirements

Bachelor’s degree or foreign equivalent in Computer Science or a closely related field.
Minimum 5 years of experience in the offered role or related positions such as Specialist Programmer, Machine Learning Engineer, or Graph Data Engineer.
5 years of experience with graph database management systems (Neo4j or Amazon Neptune) and Cypher Query Language.
5 years of experience with distributed computing frameworks, including Apache Spark.
5 years of experience with programming languages such as Python or Java, and Scala.
5 years of experience with containerization and orchestration (Docker, Kubernetes), leveraging Graph Algorithms Libraries and Neo4j GDS.

Education

Bachelor’s degree or foreign equivalent in Computer Science or a closely related field.

Technologies

Neo4j, Amazon Neptune
Cypher
Apache Spark
Python, Java, Scala
Docker, Kubernetes
Graph Algorithms Libraries, Neo4j GDS

Benefits

Competitive pay with eligibility for an annual raise and bonus.
Comprehensive health and wellbeing programs; most healthcare premiums covered with multiple plan options, including a high deductible plan; 100% in-network preventative care, plus vision, dental, telemedicine, and 24/7 mental health support.
Educational benefits including training programs, tuition assistance, mentoring, and employee resource groups.
Life events support such as fertility/IVF/adoption assistance, college coaching, and financial planning resources, plus access to savings through a credit union.
Generous paid time off, holidays, life leave, bereavement leave, and community service/education days.
Matching Gift Program and Good Neighbor Grant Program to support giving back.
Retirement planning with access to free financial advising and a 401(k) plan with company contributions up to 7% of salary.

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3mo ago

Machine Learning Engineer - E-commerce Risk Control

TikTok Seattle, WA

Seattle, WA

3mo ago Closed

$148k - $301k/yr Full time Ai Ml Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jul 9, 2026).

Job Description

TikTok seeks a Machine Learning Engineer focused on E-commerce Risk Control in Seattle to design ML solutions that prevent and detect risks across TikTok Shop and related platforms, collaborating with cross-functional teams to secure the ecosystem.

Responsibilities

Invent, implement, and deploy state of the art machine learning algorithms to respond to and mitigate business risks across TikTok products and platforms
Prototype new solutions, define experiments to test hypotheses, and share insights with product and engineering teams
Partner with multidisciplinary teams to enhance current automation and risk defense workflows
Develop efficient data querying infrastructure for offline and online analysis, uncover evolving attack patterns, and identify opportunities to strengthen defenses
Define risk control metrics, quantify and monitor risk related business and operational indicators, and align stakeholders on data-driven goals
Document technical work and communicate results through writing, visualizations, and presentations to diverse audiences

Requirements

Master’s degree in Computer Science, Mathematics, Machine Learning, or related STEM field; or equivalent experience
2+ years of hands-on experience building and delivering ML models for large-scale projects
Track record of developing models and visualizations using programming and scripting languages (Scala, Python, R, Ruby, Matlab)
Experience with forecasting, machine learning, and statistical tools, plus clear communication of results, plans, and risks
Creative problem solving and strong analytical thinking
A PhD in CS, Machine Learning, Statistics, Operations Research, or related field
3+ years of industry experience in predictive modeling and analysis
Experience collaborating with product, operations, and engineering teams is a plus
Excellent analytical and communication skills with the ability to influence stakeholders
Experience in e-commerce or online companies in fraud or risk control functions

Technologies

Java
C++
Python
Scala
R
Ruby
Matlab

Benefits

Medical, dental, and vision insurance
401(k) with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated at start and accruing with tenure
Additional discretionary bonuses or incentives
Restricted stock units

Job details

Location: Seattle, WA (onsite)
Employment type: Regular
Salary: USD 148,200 - 300,960 per year
Job code: A45354
Education: Master’s degree
Experience: 2+ years

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3mo ago

Senior/Lead - Backend Engineer/Data Engineer - AI Engineering

FICO Remote 🌍 Remote

Remote

3mo ago Closed

$140k - $220k/yr Full time Backend Developer Senior Analytics

This position is no longer accepting applications (closed Jun 28, 2026).

Job Description

Senior/Lead Backend Engineer and Data Engineer on FICO's Applied AI team, responsible for building scalable backend systems and data pipelines that power AI-driven analytics, decisioning, and automation.

Responsibilities

Architect and deploy scalable backend services and data pipelines that integrate applied AI into FICO’s analytics and decisioning platform.
Deliver robust data ingestion, transformation, and storage solutions to support reliable, high-throughput real-time analytics.
Craft LLM-based solutions for decision automation, fraud investigation, and process automation within the platform.
Develop advanced prompting strategies and Retrieval-Augmented Generation (RAG) architectures for high-stakes applications.
Collaborate with data scientists, ML engineers, and product teams to build microservices and APIs that enable intelligent, data-driven decisions.
Optimize distributed architectures and implement real-time processing frameworks to handle large volumes with low latency.
Implement comprehensive monitoring, testing, and performance optimization to ensure security, reliability, and scalability.
Define and evolve architectural patterns that scale FICO’s analytics and decisioning solutions.
Lead and mentor engineers, promoting best practices across software development, data engineering, AI integration, and systems design.

Requirements

7+ years of backend or data engineering experience delivering complex, large-scale production systems.
Proficiency in Python, Go, Java, or equivalent languages with a focus on clean, maintainable, well-tested code.
Hands-on experience with big data frameworks (Apache Spark, Kafka, Hadoop) and solid knowledge of relational and NoSQL databases.
Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).
Proven ability to design, build, and operate scalable production-grade backend systems emphasizing reliability and performance.
Strong background in testing frameworks (including A/B testing), performance optimization, and production observability.
Demonstrated track record of integrating AI/ML solutions into production systems, including work with Large Language Models (LLMs).
Experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases (Pinecone, Weaviate, pgvector) is highly preferred.
Excellent problem-solving and communication skills, with ability to mentor engineers, influence technical direction, and collaborate across teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; advanced degree is a plus but not required.

Technologies

Python, Go, Java
Apache Spark, Kafka, Hadoop
AWS, GCP, Azure
Docker, Kubernetes
Large Language Models (LLMs), Retrieval-Augmented Generation (RAG)
Pinecone, Weaviate, pgvector

Benefits

Inclusive culture aligned with core values: Act Like an Owner, Delight Our Customers, Earn the Respect of Others.
Impactful work with opportunities for professional growth and ongoing learning.
Competitive compensation and rewards programs recognizing performance.
People-first environment with work-life balance, employee resource groups, and social events.
Base salary range is $140,000 to $220,000, reflecting knowledge, skills, and experience.

Why Join FICO

Credit Scoring — FICO scores are used by 90 of the top 100 US lenders.
Fraud Detection and Security — FICO fraud systems protect 4 billion payment cards globally.
Lending — FICO Score underpins approvals for a large share of US mortgages.

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Fraud Analytics Engineer Jobs

Machine Learning Engineer

Machine Learning Engineer

Data Engineer

Machine Learning Engineer - E-commerce Risk Control

Senior/Lead - Backend Engineer/Data Engineer - AI Engineering

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