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Director, Risk Analytics, Data Science & Reporting

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:

Do you thrive on solving complex problems with data and technology, and are intrigued by understanding how channel partner decisions shape lending outcomes? Are you curious about the intersection of indirect lending, consumer finance, capital markets and fintechs, and excited to lead a team that tackles big challenges head-on? 

If you’re ready to take your strategic thinking, advanced analytics expertise, and leadership skills to the next level and make your mark on a rapidly growing organization, we want to talk to you!

As the Director of Risk Analytics, Data Science & Reporting, reporting to the VP of Risk Strategy, Modeling & Analytics, you’ll lead a team of analysts and data scientists while also rolling up your sleeves, as necessary, to deliver high-impact results. From building predictive models and actionable insights to preparing reports for the Board of Directors, you’ll balance strategy and execution to manage and mitigate risk across the business. 

If the idea of diving into predictive modeling, responding to urgent leadership requests, and crafting insights for executives excites you and you have the humility, collaboration skills, and world-class communication abilities to back it up, then this is your role. Oh, and yes, being fun matters. A lot.

What you’ll do

Team Leadership:

  • Lead the Risk Analytics, Data Science & Reporting team, setting both the long-term strategy and daily priorities to consistently drive progress while safeguarding the business.
  • Lead, coach, and mentor a team of high-performing analysts and future leaders, fostering a culture built on principles of quality, service, drive and continuous improvement.

Forecasting and Modeling:

  • Build, maintain, and continuously improve precise forecasting models (e.g., stock-flow, econometric) and risk analytics frameworks (e.g., statistical, AI, ML) covering both consumer and small business / channel partner credit and fraud loss.
  • Ensure accuracy and reliability in all operational and provisioning models used across various stakeholders.

Risk and Financial Reporting:

  • Deliver Risk (e.g., Vintage Performance), Operational (e.g., Collections Performance), Lender (e.g., Portfolio Performance), and Financial (e.g., IFRS) reports to senior management and the Board of Directors, adhering to strict timelines
  • Collaborate with cross-functional stakeholders to deliver insights that drive actionable business decisions.

Data Infrastructure and Insight:

  • Take ownership of the Risk team’s data, analytics and reporting infrastructure, driving improvements in data quality, automation, and efficiency.
  • Continuously identify and implement opportunities to automate data pipelines and reporting processes.

Insight Generation:

  • Go beyond surface-level reporting to uncover trends, anomalies, and insights that link data to real-world events and customer behaviours.
  • Translate complex findings into compelling stories and actionable recommendations for senior leaders.

Collaboration and Strategic Initiatives:

  • Partner with cross-functional teams to proactively identify and deliver analytics that meet business objectives.
  • Contribute to strategic projects and initiatives related to risk management and company growth.
  • Bachelor’s degree in Engineering, Math, Computer Science, Finance, or a related field; advanced degree (e.g., MBA, Master’s in Analytics, CFA, FRM) preferred.
  • Minimum of 7 years of experience in analytics, data science, strategy, or risk management with a strong focus on predictive modeling, insights generation, and reporting.
  • Preference for candidates with experience in strategic management consulting, high finance, growth-phase entrepreneurship, or financial services.
  • Proven leadership experience with a demonstrated ability to coach, mentor, and build high-performing, winning teams.
  • Expert-level proficiency in AWS, Python, SQL, and BI tools (e.g., Looker).
  • Strong ability to build, evaluate, and optimize complex models and visualizations.
  • Excellent verbal, written, and visual communication skills with the ability to simplify complex information for diverse audiences.
  • Strategic thinker with advanced problem-solving abilities, balancing curiosity with pragmatism.
  • Driven, highly organized, outcome-oriented, and capable of managing multiple priorities effectively.
  • A “healthy sense of paranoia” for quality, paired with humility and a desire for continuous improvement.
  • Energetic and enthusiastic team player, skilled at working independently and collaboratively across all levels (from interns to executives) and several functions (finance, operations, product, sales, marketing, and technology).
  • Passionate about contributing to a vibrant culture and building something even better - together.

Winner of Canada’s Most Admired Corporate Culture from 2018 to 2024, 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.

Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

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What You Should Know About Director, Risk Analytics, Data Science & Reporting, Financeit

At Financeit, we’re excited to announce an opening for the role of Director, Risk Analytics, Data Science & Reporting, a crucial position where analytics meets strategy. If you're passionate about solving complex problems with data and technology and enjoy analyzing how decisions impact lending outcomes, this could be the opportunity you’ve been waiting for. You'll manage a talented team of analysts and data scientists, guiding them as they create predictive models and derive actionable insights that drive impactful results. Your role will involve leading the Risk Analytics team while diving into the nuances of predictive modeling and risk management. You’ll prepare detailed reports for the Board of Directors and ensure that our risk analytics frameworks remain accurate and reliable. At Financeit, we embrace a collaborative and inclusive culture, where the values of fairness and respect truly matter. Your ability to simplify complex data into compelling narratives will be fundamental as you work with cross-functional teams to enable strategic decision-making. If you thrive in an environment that balances strategic vision with execution and where a sense of fun is valued, then we want to hear from you! Join us and make a lasting impact while enjoying competitive benefits, flexible working arrangements, and ongoing professional development opportunities.

Frequently Asked Questions (FAQs) for Director, Risk Analytics, Data Science & Reporting Role at Financeit
What are the key responsibilities of the Director, Risk Analytics, Data Science & Reporting at Financeit?

As the Director, Risk Analytics, Data Science & Reporting at Financeit, you'll be responsible for leading a high-performing team, building and maintaining forecasting models, delivering comprehensive risk and financial reports, and enhancing the data infrastructure. Your role will encompass strategic initiatives while ensuring the accuracy of predictive modeling for both consumer and business credit risks.

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What qualifications should a candidate have for the Director, Risk Analytics, Data Science & Reporting role at Financeit?

Candidates for the Director, Risk Analytics, Data Science & Reporting position at Financeit should possess a Bachelor’s degree in Engineering, Math, Computer Science, Finance, or related fields. An advanced degree is preferred, along with a minimum of 7 years of experience in analytics or risk management, particularly focused on predictive modeling and insights generation.

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How does Financeit support the growth and development of the Director, Risk Analytics team?

Financeit's culture emphasizes collaboration and continuous improvement. In the Director, Risk Analytics position, you'll lead and mentor analysts, fostering an environment of growth. The company offers career development programs and encourages learning through virtual events and team activities, ensuring that all employees, including those in the analytics team, thrive.

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What tools and technologies should a Director, Risk Analytics be proficient in at Financeit?

As the Director, Risk Analytics at Financeit, expertise in AWS, Python, SQL, and BI tools such as Looker is essential. The role demands a strong ability to build and optimize complex models and data visualizations to convey analytics clearly to various audiences.

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Can you describe the company culture for the Director, Risk Analytics role at Financeit?

Financeit is proud of its award-winning corporate culture that prioritizes collaboration, inclusivity, and respect. As a Director, you will contribute to a vibrant work environment that values teamwork, a healthy work-life balance, and fun, evidenced by the array of engaging company activities and support for flexible working arrangements.

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Common Interview Questions for Director, Risk Analytics, Data Science & Reporting
Can you explain your experience with predictive modeling as it relates to risk analytics?

In answering this question, focus on specific projects where you've developed predictive models, emphasizing the methodologies used and the outcomes achieved. Illustrate how you've applied these models to assess risk and have informed strategic decisions, particularly in a finance or analytics context.

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How do you ensure the accuracy and reliability of your forecasting models?

Discuss the techniques you employ to validate and test your models. This could include cross-validation methods, peer reviews, and using historical data to test forecasting accuracy. Highlight the importance of ongoing model maintenance and improvement.

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Describe a challenge you faced while leading a team in a data analytics project and how you overcame it.

Provide a relevant example where you encountered obstacles in a project. Focus on your leadership approach, communication strategies, and how you motivated your team to push through the challenge while maintaining project timelines and quality.

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What strategies do you employ to translate complex data insights into actionable recommendations?

Explain your process for dissecting complex data into core insights. Discuss your methods for storytelling with data, including the use of visualizations and clear narratives aimed at diverse audiences to facilitate understanding and decision-making.

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How do you prioritize tasks and manage multiple projects effectively?

Share your organizational techniques, such as task prioritization frameworks, time management tools, or agile methodologies. Emphasize how these strategies enable you to remain outcome-oriented while managing concurrent projects.

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What role does collaboration play in your analytics projects?

Highlight how you foster collaboration between teams and the importance of cross-functional partnerships, particularly in aligning analytics insights with business objectives. Provide examples of successful collaborative efforts and their outcomes.

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Can you discuss any experience you have had with operational risk management?

Describe your past roles in risk management, focusing specifically on operational risks. Discuss how you identified, measured, and mitigated risks, along with any frameworks or methodologies you have employed.

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How do you stay updated with trends and advancements in data science and analytics?

Discuss the resources you use to stay current, such as academic journals, industry conferences, webinars, professional networks, or online courses. Share how this commitment to ongoing learning has impacted your work or strategic approach.

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What key metrics do you consider important when evaluating performance in risk analytics?

Outline the key performance indicators (KPIs) you monitor in risk analytics, such as loss ratios, default rates, and recovery rates. Explain why these metrics are pivotal in assessing overall business health and performance.

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What do you find most challenging about presenting analytical findings to non-technical stakeholders?

Discuss the challenges in providing insights to an audience without a technical background. Highlight your strategies for effectively communicating complex findings using relatable language, visuals, and summary points to ensure understanding.

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Founded in 2011, FinanceIt is a market leading point-of-sale financing provider servicing the home improvement, recreational vehicle and retail industries. FinanceIt is located in Toronto, Canada.

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Full-time, hybrid
DATE POSTED
December 11, 2024

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