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Added 23 days ago
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Added 24 days ago
Salesforce & GTM Developer Intern (January 2027 - 4 Months - Toronto)
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Agentic AI Engineer Developer Intern (January 2027 - 4 Months - Toronto)
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Stage - Hiver 2027 - Développement Logiciel Avancé, Méthodes Numériques / Internship - Winter 2027 - Advanced Software Development, Numerical Methods
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Winter Intern 2027 - Platform Developer (Winnipeg Office)
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Added 19 days ago
Manager, Risk Modelling & Analytics, Forecasting
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…work under the direction of the Director - Risk Analytics, Data Science & Reporting to deliver accurate and precise time series models and forecasts that deliver the insights necessary to…
Added 21 days ago
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Financeit

Manager, Risk Modelling & Analytics, Forecasting

Remote, Canada

Pay: Annual Base Salary: $110,000 - $120,000
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 1, 2026

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Original 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:

Do you love diving into data, solving problems with tech, and learning how fintechs get funded by lenders? Are you equally skilled at balancing deep thinking with pragmatic execution, and always delivering on time? 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!

We are seeking a Manager of Risk Analytics & Modeling - Forecasting, to work under the direction of the Director - Risk Analytics, Data Science & Reporting to deliver accurate and precise time series models and forecasts that deliver the insights necessary to optimise planning and decision-making. The chosen candidate will also play a key role in building new forecasting capabilities, operationalising and automating forecasting processes, leading forecasting deep dives, and arming stakeholders across the business with the information and advice needed to win.

If bouncing between building predictive forecasts, responding to urgent leadership requests, and figuring out how to turn complex human behaviour into succinct algorithms excites you, then you’re the dynamic forecasting analytics and modeling manager we’re looking for! Just make sure to bring your communication “A-game” along with your drive, personality and aptitude for solving problems. Translating macroeconomic effects and microeconomic personal intermediated decision-making into accurate and precise predictions is no small feat and requires a ton of team-based continuous improvement.

What you'll be doing:

Build and refine accurate unit economic, channel, and borrower-level vintage and segment risk and valuation models
Build and refine cashflow and profitability (stock-flow, time-series, and econometric) forecasts for consumer & channel partner credit and fraud losses across products, segments, and stakeholders
Develop, automate, and deliver high-quality daily, weekly, monthly, quarterly and annual Loss Forecasts and supporting analysis, on time, to Executive and Senior Management
Go beyond the surface level to build sophisticated yet explainable models that connect data to real-world events, customer attitudes and behaviors to deliver insights and inform high-value business decisions
Continuously improve efficiency by identifying high quality, well-managed data sources and opportunities to apply automation, data pipelines, and AI to your work
Partner with cross-functional teams to understand their needs and goals to proactively ensure they have the models, tools, and insights needed to succeed
Participate in strategic projects and initiatives related to risk analytics, data science, reporting, strategy and operations
Document all policies, strategies, data sets, and tools (using tools like Confluence) in ways that ensure clarity and a seamless and accurate internal transfer of knowledge
Foster a team culture rooted in dedication, curiosity, and continuous improvement.
Bring energy, positivity, a critical eye, unimpeachable integrity, a team-first attitude, and a desire to contribute to building something great, together

Who you are:

You bring an engineering mindset and look at forecasting as data science problem that needs to work well in, and adjust to, the real world
You have advanced analytics, data engineering, and automation skills, with a knack for translating complex human behaviours into explainable predictions through system mapping, data analysis and financial modelling
Elite critical thinking and problem solving, impeccable judgment, and advanced communication (verbal, visual, and written) skills required
Legitimately curious and passionate about finding the “right answer” with a detail-oriented mindset and a “healthy sense of paranoia”
Highly organized, disciplined and driven, with the ability to manage competing priorities while meeting deadlines

University degree in Engineering, Math, Computer Science, Applied Math or Applied Sciences, Finance, or other quantitative discipline
5+ years of full-time and/or internship/PEY experience in analytics, data science, strategy, risk management and/or finance, focused on modeling, analytics, and/or forecasting
4+ years of applied experience in building models (Python, Excel), data pipelines (dbt, SQL, Airflow), and/or automating processes would be a strong asset
Experience in complex indirect lending / consumer credit risk, collections & recoveries strategy & analytics, or financial modeling would be strong assets
Highly advanced pragmatic real-world quantitative thinking, judgment, communication (verbal, visual, and written), with advanced problem-solving and analytical skills
Highly organized and driven, with the ability to manage competing priorities while meeting deadlines
A balanced sense of confidence and humility, with the ability to thrive in a collaborative environment and bring energy and enthusiasm to team culture
Capable of having fun while doing all of the above; we’re serious about this

Winner of Canada’s Most Admired Corporate Cultures, 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:

Annual Base Salary: $110,000 - $120,000
Annual Bonus: 20%

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 are selected to move forward in the process.

Financeit is an equal opportunity employer. We celebrate diverse backgrounds and perspectives because we know they make our team stronger and our product better. We hire based on talent, potential, and culture add - no matter your background, identity, or life experience, you are welcome here.

We may use AI to support our hiring process. While these tools assist our team, applications are ultimately reviewed and assessed by our recruiters. If you require accommodation at any stage of the recruitment process, please let our People Success team know. Please note that this posting is for an existing vacancy, and all employment offers are contingent upon a successful background and credit check, among other verifications.

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More about this job

Responsibilities

The manager will build and refine unit economic, channel, and borrower-level risk models while delivering accurate loss forecasts to executive management. They will also partner with cross-functional teams to automate data pipelines and provide actionable insights to inform business decisions.

Requirements

Candidates must hold a university degree in a quantitative discipline such as Engineering, Math, or Finance. A minimum of 5 years of experience in analytics, data science, or risk management is required, along with proficiency in Python, SQL, and financial modeling.

Skills

Risk modeling
Forecasting
Data science
Python
SQL
Financial modeling
Data engineering
Automation
Time series analysis
Econometrics
Credit risk
Analytical skills
Critical thinking
Communication
Project management

Benefits

Performance-based bonus
Hybrid workplace options
Medical coverage
Dental coverage
Vision coverage
Lifestyle account
RRSP matching
Parental leave top up program
In-office massage
Meditation sessions
Workout sessions
Career learning and development programs

Visa sponsorship

Not detected in the job text

Keywords

Risk Modelling
Forecasting
Data Science
Fintech
Python
SQL
Dbt
Airflow
Financial Modelling
Econometrics
Credit Risk
Consumer Lending
Data Pipelines
Automation
Unit Economics
Time Series
Risk Analytics
Strategy
Operations
Confluence
Predictive Analytics
Loss Forecasting
Cashflow Forecasting
Quantitative Analysis
Indirect Lending

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