# Software Engineer II - Insider Risk

**Company**: Abnormal
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $149,200-$214,500 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/abnormalsecurity/jobs/7992780003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8ff47fa2-3e4

## Description

As organisations face increasingly sophisticated social engineering and insider threats, the very foundation of trust,the employee identity,is under attack. Abnormal’s Identity Security team is building a groundbreaking product to detect and prevent fraudulent employee identities, specifically targeting high-stakes threats like infiltrators seeking to funnel funds through deceptive employment.

You will build identity verification and fraud detection systems to scrutinise candidate data during the application process.

Responsibilities:

- Build identity verification and fraud detection systems to scrutinise candidate data during the application process.

- Develop sophisticated correlation engines that match candidate details (IPs, phone numbers, email history, resume metadata) against known indicators of fraudulent or state-sponsored activity.

- Create high-availability pipelines that ingest and analyse signals from application tracking systems (ATS), identity providers, and external risk intelligence.

- Ship automated guardrails that flag high-risk candidates in real-time, enabling security teams to act before an infiltrator is onboarded.

- Drive 0→1 iteration: prototype quickly, test fraud detection assumptions, learn from emerging threat patterns, and scale simple, effective solutions.

- Collaborate across security, platform, and data teams; write and review technical designs; and participate in core SDLC rituals.

Requirements:

- 2+ years building software applications.

- Experience productionizing large-scale, data-intensive systems.

- High velocity and creativity in solving technical challenges related to fraud detection and pattern matching.

- Experience & desire to adopt & improve AI-native development workflows.

- Strong debugging skills with logs, metrics, and behavioural signals.

- Ability to translate complex security and business requirements into high-quality software.

- Ability to independently solve complex problems and work cross-functionally.

- BS in CS/SE/IS or a related field.

Nice to Have:

- Experience with Go and Python.

- Experience in fraud detection, identity verification, or anti-money laundering (AML) systems.

- Background in cybersecurity, specifically focused on insider threats or nation-state actor TTPs (Tactics, Techniques, and Procedures).

- Experience with big data, statistics, and ML for identity/behavioural risk modelling and anomaly detection.

Benefits:

- Base salary range: $149,200-$214,500 USD

- In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

## Skills

### Required
- software applications
- large-scale systems
- fraud detection
- AI-native development
- debugging
- security requirements
- complex problem-solving

### Nice to have
- Go
- Python
- identity verification
- AML systems
- cybersecurity
- big data
- statistics
- ML

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/abnormalsecurity/jobs/7992780003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)