Fraud Analytics Manager
Own the analytics function for fraud and risk at Imprint, focusing on automation and tooling in a fully remote role.
Posted by employer 1 day ago
First seen on Joblaze 6 hours ago
Last verified on the company career page 6 hours ago
What you'll build
- Own end-to-end automation and tooling for manual analytics tasks
- Build and maintain a consolidated backtesting framework for fraud rules
- Consolidate fragmented reporting pipelines
- Develop and maintain a consolidated risk label framework
- Establish and track a KPI with supporting dashboards
Must have
- Strong proficiency in SQL and Python
- Demonstrated analytical ability
- Experience with BI tooling
- Experience with Git
- Clear communicator
Nice to have
- Experience with LLMs and prompt engineering
- Background in fintech or high-growth tech startup
- Exposure to fraud or credit risk analytics
- Experience building analytics functions
AI in the day-to-day
Deploy LLM and AI tooling to streamline analytical workflows.
Requirements
- Experience
- 3–6 years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Fraud Analytics Manager at Imprint is responsible for enhancing the analytics function related to fraud, credit risk, and operations through automation and tooling. This role requires strong skills in SQL and Python, along with experience in BI tools, to streamline reporting and develop backtesting frameworks. Ideal candidates will have 3-6 years of relevant analytics experience, particularly in fintech or high-growth environments, and a proactive approach to problem-solving. This position is newly created to address existing gaps in analytics and to establish a robust function within the company.
Joblaze insights
Quick facts
- Is the Fraud Analytics Manager role remote?
- Yes — Imprint lists this as a fully remote position.
- How much experience is required?
- 3–6 years of relevant experience for this Fraud Analytics Manager role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, BI tooling, Git, LLM, Python, SQL.
- What seniority level is this role?
- Imprint targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Fraud Analytics Manager role at Imprint.
From the original posting
As a Fraud Analytics Manager, you will own the analytics function supporting fraud, credit risk, and operations at Imprint. This is a hands-on individual contributor role with managerial scope, focused on building automation, tooling, and reporting infrastructure that reduces manual work and drives faster, smarter decisions across the team.
You will act as the primary analytics owner for a set of problems that sit across fraud, credit, and risk: consolidating fragmented reporting, building shared backtesting frameworks, and deploying AI-assisted tooling to free up the team's time for higher-leverage work.
This role is net new — it is not a backfill. It is being created to solve problems that are not currently owned well enough and to establish a new type of analytics function at Imprint.
Automated or tooled at least 3 manual reports or tasks, delivering complete working solutions for the team
Consolidated overlapping Claude/LLM skills into a more streamlined, shared framework
Built an initial backtesting framework for fraud rules, creating a shared process across ATO, first-party fraud, IDT, and credit risk
Established hours saved per week as the primary KPI for the role, with dashboards and reporting to track it
Earned trust as a doer who takes action, moves fast, and builds things that last
Responsibilities
Own end-to-end automation and tooling for manual and redundant analytics tasks across fraud and risk
Build and maintain a consolidated backtesting framework for fraud rules, shared across ATO, first-party fraud, IDT, and credit risk
Consolidate fragmented reporting pipelines and deliver clean, reliable reporting infrastructure
Develop and maintain a consolidated risk label framework so changes in one area account for downstream effects in others
Deploy LLM and AI tooling to streamline analytical workflows
Establish and track a KPI (hours saved per week) with supporting dashboards and reporting
Partner with fraud, credit, and risk stakeholders to identify high-impact automation and tooling opportunities
Help define and refine the scope of this function as it matures
Qualifications
Required
Strong proficiency in SQL and Python — these are non-negotiable
Demonstrated analytical ability and comfort diving into messy, complex data
Experience with BI tooling (Sigma preferred; Tableau or similar accepted)
Experience with Git
Clear, effective communicator who can translate analytical findings into decisions
Bias toward action — takes initiative, ships solutions, and doesn't wait for perfect conditions
Roughly 3–6 years of relevant analytics experience, though skill set matters more than tenure
Nice to Have
Experience with LLMs and prompt engineering
Background in fintech or a high-growth tech startup
Exposure to fraud, credit risk, or financial domain analytics
Experience building or scaling analytics functions from scratch
Perks & Benefits
Competitive compensation and equity packages
Leading configured work computers of your choice
Flexible paid time off
Standard company text repeated across Imprint's postings is omitted here.