Fraud Analytics Engineer Jobs

1 job found

2d ago

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

FICO Remote 🌍 Remote

Remote

2d ago

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

Apply Now

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.

View full job page →

Get Job Alerts

New jobs delivered to your inbox.