Risk Analyst, Data Engineering & Automation

Financeit; Toronto; Hybrid; CAD 70,000 - 95,000; Full time

Job summary

A leading financing provider is seeking an Analyst in Risk Data Engineering & Automation. This role involves ingesting and delivering data sets, automating processes, and enhancing risk management efficiency through RPA and AI technologies. Join a company that values collaboration and offers extensive benefits, including competitive pay and a supportive work environment.

Benefits

Competitive pay and performance-based bonus

Flexible work arrangements (hybrid)

Comprehensive medical, dental, and vision coverage

RRSP Matching

In-office wellness sessions (massage, meditation)

Virtual events and team-building activities

Career learning and development programs

Qualifications

• 2+ years in data engineering, data analytics, dev ops, or automation.
• Experience in building data repositories and automating data pipelines.
• Understanding of B2B2C lending and commercial credit risk is an asset.

Responsibilities

• Support projects by integrating and transforming data for tools and models.
• Ensure data quality and manage Risk data repositories.
• Scale automation and develop reporting dashboards for risk management.

Skills

Data manipulation

Advanced analytic skills

Problem-solving

Strategic thinking

Communication

Education

University degree in Engineering, Math, or Computer Science

Tools

dbt

Airflow

Python

Redshift

SQL

Looker

Excel

Job description

Who we are:

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada.

Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase.

We are small enough that you can make an impact within the company and large enough to make an impact in the market.

Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us.

About the role:

If you’re ready to take your strategic thinking, advanced analytic skills, and knack for digging into the details to the next level, while leaving your mark on a rapidly growing organization, we want to hear from you!

As the Analyst, Risk Data Engineering & Automation, you’ll work under the direction of the Director - Risk Analytics, Data Science & Reporting to ingest and deliver new data sets, build automation pipelines and apply RPA and GenAI to dramatically improve the efficiency & effectiveness of how we record, measure, action and solve risk-related (disputes, fraud, AML, collections, etc.) issues.

Oh, and yes, being fun matters. A lot.

What you’ll do:

• Support projects and initiatives across Risk by identifying, aggregating, transforming and integrating the best data possible into proprietary tools, data warehouses, representative models, and predictive forecasts, as required
• Ensure data quality and accuracy by taking ownership for, and management of, Risk data repositories
• Architect and scale automation (RPA, GenAI, pipelines, etc.) and data infrastructure solutions that drive efficient risk management (credit, fraud, merchant) outcomes
• Contribute to the ongoing development and refinement of accurate operational and financial forecasts (stock-flow, time-series, econometric) that predict consumer & channel partner credit and fraud losses across products, segments, and stakeholders
• Support the development and delivery of on-time high-quality Loss Forecasts and Risk (vintage-level performance), Operational (e.g. Collections performance), Lender (e.g., Portfolio Performance), and Financial (e.g., IFRS) dashboards and reports
• Develop and support the delivery of high-quality automated triggers to notify key partners and stakeholders of the most pressing Risk issues needing their attention
• Support the development, implementation, and deployment of advanced risk prediction and scoring models
• Document data sets, tools, and processes (using tools like Confluence) in ways that ensure clarity and a seamless and accurate internal transfer of knowledge
• Partner with cross-functional strategy, reporting and data science teams to understand their goals and ensure they have what’s needed to succeed and thrive
• Participate in strategic projects and initiatives related to risk management
• Foster a team culture rooted in dedication, curiosity, and continuous improvement

• University degree in Engineering, Math, or Computer Science
• 2+ years of full-time and/or internship/PEY experience in data engineering, data analytics, dev ops, model ops, applied AI, and/or automation
• 2+ years of applied experience in building data repositories, automating data pipelines and process and/or creating analytic models using tools like dbt, Airflow, Python, and/or Redshift
• Advanced skills in data manipulation, visualization, and modeling, with proficiency in SQL, Looker, and Excel would be highly valued
• Experience working in indirect (B2B2C) lending / consumer credit risk, commercial credit risk, fraud, collections & recoveries and/or in an analytics or automation capacity at a financial institution would be a strong asset
• Strong strategic thinking, judgment, communication (verbal, visual, and written), and advanced problem-solving analytic skills
• Legitimately curious and passionate about finding the “right answer” with a detail-oriented mindset and a “healthy sense of paranoia” about quality
• Highly organized, disciplined and driven, with the ability to manage competing priorities while meeting deadlines.
• Balanced sense of pride & humility with the ability to thrive in a collaborative environment and bring energy and enthusiasm to team culture

Winner of Canada’s Most Admired Corporate Culture twice, we offer more than just the basics. Take advantage of:

• An award-winning culture with a collaborative & inclusive team.
• Competitive pay and performance-based bonus.
• Committed to flexible work arrangements, offering hybrid workplace options.
• Comprehensive medical, dental and vision coverage + Lifestyle Account.
• RRSP Matching and Parental Leave Top UP Program.
• In office massage, meditation & workout sessions.
• Virtual events such as Lunch & Learns, company parties, fun team activities and charity initiatives.
• Career learning and development programs.

Next Steps:

If what you just read excites you, we’d like to hear from you! Please submit your application and we’ll contact you if you become selected for a phone interview.

Financeit is an equal opportunity employer. Accommodation is available on request for candidates taking part in all aspects of the selection process.