Senior Data Analyst, Risk

Job Description

Job Description

Salary : $81,500-$107,500 yearly salary + benefits (See below for more details)

About us :

Spring Financialis a Canadianfinancial technology companyfocused on making every day financial servicessimpler, faster, and more accessible.

We build technology that helps Canadiansbuild credit, save money, and access lending productswithout unnecessary friction. Our platforms allow customers to apply and manage their financesonline, by text, or over the phone, making the experience convenient and flexible.

Since launching in 2014, Spring has grown into one of Canadas largest fintechs, with over250,000+ product originationsacross credit-building products, personal lending, and mortgage solutions.

Were a fast-growing, product-driven team that valuespractical solutions, strong execution, and thoughtful collaboration. We give people ownership, trust them to make decisions, and focus on building systems that scale reliably.

If youre interested in working onreal-world fintech platforms used by hundreds of thousands of Canadians, Spring offers the opportunity to make a tangible impact through well-built technology.

NOTE : This is a full-time, permanent, hybrid position in downtown Vancouver. 3 set days in the office and 2 WFH.

Job Overview :

As a Senior Data Analyst in Credit Risk at Spring, you operate at the intersection of analytics, data engineering, and business strategy. You bring together advanced analytical capability with technical depth to build the insights, pipelines, and frameworks that power our credit decisioning, forecasting, and portfolio monitoring. You take full ownership of the analytical lifecycle, from shaping ambiguous questions to delivering strategic recommendations that influence credit policy, product direction, and financial outcomes. You work across Snowflake, AWS, SQL, Python, BI tools, and AI tooling to uncover insights, modernize data flows, and support high-quality decision-making across the organization.

What youll do :

• Architect and guide the delivery of scalable, reliable data pipelines and analytical workflows supporting credit risk use cases across AWS and Snowflake.
• Create advanced dashboards and reporting in Tableau, Hex, Power BI, or Qlik Sense for executive visibility and operational monitoring.
• Analyze credit bureau data, market trends, and internal portfolio performance to surface insights that influence underwriting, pricing, and collections strategy.
• Lead analytical projects from scoping through delivery, translating complex questions into structured frameworks and actionable recommendations.
• Modernize legacy data flows, unify batch and streaming sources, and improve data models to support self-serve analytics and ML initiatives.
• Collaborate with engineering, analytics, product, and finance teams to clarify ambiguous problems, assess risks, and propose scalable solutions.
• Use Python and AI tools to perform advanced exploratory analysis, build predictive insights, and validate statistical outputs.
• Partner with ML and Finance teams to ensure datasets meet the appropriate latency, accuracy, and governance standards.
• Present findings and strategic recommendations to senior leadership, influencing direction and decisions across credit and product lines.
• Mentor analysts and contribute to elevating Springs analytical rigor, documentation standards, and data-driven culture.

Requirements :

What We Will Give You :

Please note : Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.

Thank you for your interest! We appreciate your time and look forward to reviewing your application!