Quality Analyst

Founders today are building global companies from day one — but the systems that manage their money were built for a different era. Aspire exists to change that!

We’re building the financial operating system for global founders, bringing banking, software, and automation into a single platform so businesses can move faster across borders and stay focused on building.

Aspire is built by people who think from first principles, care deeply about solving hard problems, and take real ownership of their work. Our team brings global experience from leading fintech and technology companies, and many of us are former founders and operators who understand what it takes to build thoughtfully, make trade-offs, and deliver at scale in a global environment.

Backed by leading global investors including Y Combinator, Peak XV, and Lightspeed, Aspire has been trusted by more than 50,000 startups and growing businesses worldwide to manage their finances since 2018. Together with partners like J.P. Morgan, Visa, and Wise, we’re building for the next generation of global companies.

About the role

We are looking for a detail-oriented Quality Analyst to own quality reviews across Aspire’s Process Operations teams, including FinCrime (Screening, CDD, Fraud), Onboarding, and back-office workflows. The ideal candidate brings process depth, analytical rigour, and a strong appetite for AI-augmented quality work. This role goes beyond ticket auditing: you will help design and refine AI-assisted solutions, surface operational patterns, and drive continuous improvement in process accuracy and compliance.

Key Responsibilities:

Process Quality Reviews & Audits

• Perform end-to-end QC reviews of cases handled by Process Ops teams across FinCrime (Fraud, CDD, Screening, TxM) and Onboarding functions.
• Evaluate agent decisions against defined SOPs, risk frameworks, and compliance requirements (including AML/KYC and sanctions screening standards).
• Identify errors, process deviations, and judgment gaps; ensure accurate, calibrated scoring across complex, multi-step workflows.
• Conduct structured deep dives on escalations, near misses, and recurring failure patterns to inform root cause analysis.

AI-Augmented Quality Operations

• AI-first mindset: default orientation toward automation over manual effort
• Solution design: identify where AI can solve specific banking/FinCrime QC problems (scoring, anomaly flagging, SOP checks, exception triage)
• LLM evaluation literacy: understand prompt design and where models hold up vs. where human judgment still owns it in regulated contexts
• Requirement translation: bridge operational/compliance needs into AI solution logic, with regulatory guardrails built in

Insights & Process Improvement

• Analyze quality trends across process teams to identify systemic gaps in SOP adherence, training, or tooling.
• Provide structured, actionable feedback to team leads and operations stakeholders on quality performance and improvement priorities.
• Recommend SOP updates, process redesigns, and training interventions based on QC findings.
• Support calibration sessions to align QC scoring standards across reviewers and teams

Reporting & Documentation:

• Prepare monthly QC reports covering all process teams — including scores, error rates, trend analysis, and improvement initiatives.
• Maintain documentation for QC frameworks, scoring rubrics, and audit trails.
• Track quality metrics over time and flag leading indicators of performance degradation.

Qualifications & Skills:

Minimum Qualifications:

• Bachelor’s degree in Business, Finance, or a related field.
• 2–4 years of experience in Quality Control, Operations, Compliance, or Risk — preferably in a FinCrime, KYC/AML, or financial services environment.
• Strong process-oriented thinking: ability to evaluate decisions against complex, multi-step frameworks rather than simple checklists.
• Solid analytical skills — comfortable working with data to identify patterns, anomalies, and root causes.
• Proficiency in Excel/Google Sheets; familiarity with CRM or case management tools (e.g., Intercom, Zendesk).
• Excellent written communication in English; capable of producing clear, well-structured QC reports and feedback.
• Strong ownership mindset and close attention to detail.

Preferred Qualifications:

• Direct exposure to AML, KYC, sanctions screening, fraud operations, or CDD processes.
• Hands-on experience with AI or automation tools in a QC or operations context — including prompt engineering or LLM-assisted review workflows.
• Familiarity with Databricks, SQL, or BI tooling (Looker, Tableau, or equivalent).
• Experience building or improving QC scorecards, sampling methodologies, or audit frameworks.
• Ability to read and interpret SOPs across diverse process domains and translate gaps into structured improvement plans.
• Prior experience in fintech, banking, or B2B SaaS operations.

Candidate Profile:

We’re looking for someone who:

• Understands that process quality is as much about system design as individual decisions
• Can hold both the detail (case-level accuracy) and the big picture (operational trends) at the same time
• Is genuinely curious about how AI can make quality work faster, more consistent, and more impactful — and is comfortable getting hands-on with it
• Navigates ambiguity well and adapts quickly when processes change
• Communicates findings clearly to non-QC stakeholders and can influence without authority
• Thrives in a fast-paced, cross-functional environment where no two weeks look the same