Financial Data Analyst, Payments Health

Stripe; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A financial infrastructure platform in Toronto is seeking an experienced professional to develop SQL queries and enhance monitoring systems. The ideal candidate should have over 5 years of experience in Payments within a technology or payments company, demonstrating strong analytical skills and the ability to manage communications with various stakeholders. The role involves providing actionable insights and performing complex data analyses to mitigate risks and improve operations.

Qualifications

• 5+ years of experience in Payments at a leading technology or payments company.
• Experience writing SQL to query relational databases.
• Strong financial modeling and analytical skills.

Responsibilities

• Develop and maintain SQL queries to analyze complex financial data.
• Enhance overall observability by proposing actionable insights.
• Hunt for patterns and anomalies in data indicating potential threats.

Skills

SQL

Data analysis

Financial modeling

Problem solving

Mentorship

Job description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Payment Intelligence Engineering’s purpose is to mitigate threats to our systems in order to keep our merchants, Stripe and financial partners safe. We empower global businesses with intelligent solutions for conversion and fraud prevention, leveraging consumer intelligence and transparent ML to maximize growth and build trust. Our Payments Intelligence portfolio delivers actionable insights to all user segments.

The Payments Health Technical Operations team is pioneering new ways to achieve this mission. Our dynamic team relies on the expertise of integration reliability engineers and data analysts to identify gaps and build comprehensive solutions in the ever changing arena of fraud prevention.

What you’ll do

Responsibilities

• Develop and maintain SQL queries to analyze and navigate complex financial data effectively.
• Enhance overall observability by identifying gaps and proposing actionable insights to improve our monitoring systems.
• Actively hunt for patterns and anomalies in data that could indicate potential threats or operational issues.
• Collaborate with cross‑functional teams to consolidate and gather relevant data for informed engineering efforts.
• Design and implement comprehensive dashboards for real‑time visibility into key metrics and system health.
• Establish and refine key performance indicators (KPIs) to track progress and improvements over time.
• Support the creation and maintenance of observability frameworks to ensure early detection of issues.
• Contribute to efforts that reduce organizational toil by optimizing data analysis processes.
• Communicate findings and insights clearly to both technical and non‑technical stakeholders.
• Stay updated with industry trends in data analysis and financial data handling to ensure best practices.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Have 5+ years of experience in Payments at a leading technology or payments company
• Have experience writing SQL to query relational databases
• Have experience managing communications and workflows with technical and non‑technical teams across internal and external stakeholders
• Experience mentoring junior team members in technical skill development, operational strategy and problem solving
• Have experience navigating the nuanced complexity of financial systems and solving large scale, technical challenges
• Have strong financial modeling and analytical skills to investigate, prioritize, and identify the root cause of issues
• Have experience managing multiple, concurrent work streams, identifying and triaging technical issues and driving solutions with clear metrics to show impact