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Gaming Fraud Risk Analyst Jobs in Toronto, ON (NOW HIRING)

We're looking for data scientists with a passion for analyzing data, building machine learning and ... We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these ...

Maintain awareness of fraud trends, risk management practices, fraud controls, regulatory ... Ability to analyze complex issues, identify root causes, assess impacts, and recommend practical ...

Reporting to the Senior Manager, TDS G&C, the primary role of the Senior Analyst, TDS G&C, is to ... Build and maintain constructive relationships with FCRM and fraud risk partners as well as other ...

New

Business Insights Analyst II

Markham, ON · On-site

CA$81K - CA$115K/yr

You would manage evolving fraud threats while taking into consideration TD risk appetite, Customer and operational experience. With strong technical, analytics background you would join the team to ...

You would manage evolving fraud threats while taking into consideration TD risk appetite, Customer and operational experience. With strong technical, analytics background you would join the team to ...

Showing results 21-40

Gaming Fraud Risk Analyst information

What does a gaming fraud risk analyst do?

A Gaming Fraud Risk Analyst is responsible for identifying, investigating, and preventing fraudulent activities within online or offline gaming platforms. They analyze player behavior, monitor transactions, and use various tools and data analytics to detect suspicious activities such as account takeovers, payment fraud, or cheating. Their role helps gaming companies maintain fair play, protect user accounts, and comply with legal regulations. They also collaborate with other teams to improve fraud prevention strategies and minimize financial losses.

What are some common challenges faced by gaming fraud risk analysts in the gaming industry?

Gaming Fraud Risk Analysts often encounter challenges such as staying ahead of rapidly evolving fraud techniques and distinguishing between legitimate user behavior and suspicious activity. They must analyze large volumes of transactional and behavioral data, which requires attention to detail and proficiency with analytical tools. Collaboration with engineering, customer support, and compliance teams is essential to implement effective anti-fraud measures and respond quickly to emerging threats. Continuous learning and adaptability are key, as fraud methods and gaming technologies frequently change.

What are the key skills and qualifications needed to thrive as a gaming fraud risk analyst, and why are they important?

To thrive as a Gaming Fraud Risk Analyst, you need strong analytical skills, attention to detail, and a solid understanding of gaming industry regulations, often supported by a degree in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools like SQL or Python, and knowledge of anti-money laundering (AML) systems are typically required. Critical thinking, problem-solving, and effective communication are valuable soft skills for investigating suspicious activity and collaborating with other departments. These skills are essential to accurately identify fraudulent behavior, minimize risks, and protect both the company and its players.

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For Gaming Fraud Risk Analyst jobs in Toronto, ON, the most frequently searched job titles are:

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The top searched job categories for Gaming Fraud Risk Analyst jobs in Toronto, ON are:

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Cities near Toronto, ON with the most Gaming Fraud Risk Analyst job openings:

Infographic showing various Gaming Fraud Risk Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 79% Full Time, and 21% Temporary. Highlights an 74% In-person, and 26% Remote job distribution.

Manager, Risk Modelling & Analytics, Forecasting

Financeit

Toronto, ON • On-site

Full-time

Medical, Dental, Vision

Posted 4 days ago


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

Requirements

  • 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

Benefits

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.