Senior Data Scientist, Finance & Market Risk

Join Us in Revolutionizing Financial ServicesAt Wealthsimple, our mission is to empower individuals to achieve financial freedom through innovative and user-friendly financial management solutions. By leveraging cutting-edge technology, we strive to simplify complex financial services, making them accessible and affordable for everyone. As Canada's leading fintech company, we proudly serve over 3 million users, managing more than $100 billion in assets, and we are just getting started.We are seeking a visionary individual who values both big ideas and meticulous attention to detail. You will be part of a high-performing, fast-paced team where ownership, open communication, and impactful contributions to our clients' lives are paramount. Our culture is built on collaboration, humility, and a relentless pursuit of excellence.Become a vital part of our Canadian success story and help shape the financial future for millions. Explore our Culture Manual and learn more about how we work.As part of the Finance and Market Risk Data Science team, you will collaborate with a dynamic group of data scientists and analytics developers dedicated to providing high-quality financial metrics and advanced analytics that inform crucial business decisions at Wealthsimple. Your contributions will support financial planning, treasury operations, liquidity management, and risk assessment in brokerage products such as margin trading and options.Having laid a strong foundation for data-driven decision-making, our team is excited to scale these initiatives, optimizing financial resources and refining risk management strategies as our product offerings evolve. In the role of Senior Data Scientist, Finance & Market Risk, you will make a substantial impact through advanced analytics that enhance strategic financial planning and sophisticated risk management across our growing brokerage services.Key Responsibilities:Utilize advanced analytical techniques to tackle intricate business challenges within finance and market risk domains.Develop and maintain a comprehensive finance data mart, emphasizing data quality, accessibility, and operational efficiency.Design insightful dashboards to track financial KPIs, profitability metrics, and fulfill regulatory reporting obligations.Work collaboratively across functions with finance, risk, and product teams to drive data-informed decision-making.

Join us in building a future people loveAt Wealthsimple, we're dedicated to empowering everyone on their journey to financial freedom by transforming the way they manage their finances. Leveraging innovative technology, we simplify often complex and costly financial services, making them accessible and transparent for all. As Canada's leading fintech firm, we proudly serve over 3 million users, managing assets exceeding $100 billion—and we're just getting started.We seek a visionary who pays attention to detail while keeping things straightforward. You'll be part of a high-performing, agile team that values ownership, open communication, and impactful contributions to improve our clients' lives. Our culture thrives on collaboration, humility, and an unwavering commitment to quality.Be a vital part of our Canadian success story and help shape the financial future of millions. Explore our Culture Manual and discover how we work.About the TeamThe Data Science & Engineering (DSE) team comprises analytics engineers, data scientists, and software engineers from varied academic backgrounds, including mathematics, operations research, economics, computer science, engineering, and business. Our mission is to enable data-driven decision-making and create data products at Wealthsimple.The Marketing Data team is a vital part of our broader Growth Data organization, focusing on new user acquisition and net deposit targets through various marketing efforts, including paid, organic, and branding initiatives. We are organized around key areas such as promotions, referrals, social sharing, paid marketing, and organic measurement. Our collaboration extends across Growth, Product, and Engineering teams to optimize marketing investments and expand Wealthsimple's customer base.About the RoleMarketing is a fundamental aspect of Wealthsimple's growth strategy, and the Marketing Data team plays a crucial role in facilitating data-driven decision-making across all marketing channels. We are looking for a Senior Data Scientist to act as a domain expert in one of our key marketing areas—optimizing strategies through advanced algorithms, measurement systems, and strategic insights that influence significant marketing expenditures.

Join Thumbtack: Empowering Homeowners NationwideAt Thumbtack, we are dedicated to helping millions of individuals confidently manage and enhance their homes. Our innovative app serves as a one-stop solution, offering personalized guidance, AI-driven tools, and an unparalleled hiring experience. Daily, homeowners across the U.S. rely on Thumbtack for urgent repairs, seasonal maintenance, and significant upgrades. We empower them to determine the right projects, timing, and local service providers from our growing network of 300,000 businesses. If you're inspired by making a meaningful impact, we invite you to be part of our journey. Imagine the possibilities we can create together.About the Data Science TeamThe Data Science team at Thumbtack plays a pivotal role in informing business strategies through data-driven insights. Collaborating with various departments, we tackle complex analytical challenges—from optimizing pricing strategies across nearly a thousand service categories to assessing the impact of new business models and identifying key indicators of high-quality customers. Our team is tightly knit, intellectually curious, and committed to mutual growth and improvement.About the RoleAs a Senior Staff Marketing Data Scientist, you will be among the most senior members of our team, setting the standard for technical innovation and strategic influence. Your primary goal will be to enhance our channel measurement capabilities and to develop scalable methodologies, frameworks, and tools that enable the Marketing and Data Science teams to operate with agility, rigor, and assurance.Key ResponsibilitiesLead the advancement of measurement methodologies that redefine marketing effectiveness evaluation, utilizing innovative data science techniques.Facilitate the development of frameworks, tools, and processes that standardize and scale measurement across diverse channels.Refine and enhance existing modeling methodologies to deliver actionable and robust insights.

Role overview Pinterest is hiring a Senior Data Scientist in Toronto, ON. This role focuses on using advanced data analysis and machine learning to guide business decisions and improve the user experience. What you will do Analyze large datasets to uncover insights that inform product and business strategy Apply machine learning methods to solve real-world problems on the Pinterest platform Work closely with teams across the company to develop and implement data-driven solutions Help optimize features and experiences for millions of Pinterest users

About FaireFaire is a pioneering online wholesale marketplace driven by the conviction that the future lies in local commerce. Independent retailers worldwide are generating more revenue than industry giants like Walmart and Amazon combined, yet they often remain overshadowed by these large corporations. At Faire, we harness the power of technology, data, and machine learning to unite this vibrant community of entrepreneurs. Imagine your favorite local boutique — we empower them to discover and showcase the best products from around the globe. With the right insights and tools, we aim to level the competitive landscape, enabling small businesses everywhere to stand shoulder to shoulder with large retail chains.By fostering the growth of independent businesses, Faire is making a significant positive economic impact on local communities globally. We seek intelligent, resourceful, and passionate individuals to join us in fueling the shop local movement. If you share our belief in the power of community, we invite you to be a part of ours.About This RoleAt Faire, we utilize advanced machine learning (ML) and data analytics to transform the wholesale sector, empowering local retailers to effectively compete with major players such as Amazon and big box stores. Our talented team of data scientists and machine learning engineers is dedicated to developing innovative algorithmic solutions for notification systems, recommendation engines, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate mission is to equip local retail businesses with the essential tools for success.The Data Science team at Faire is tasked with designing and maintaining a diverse array of algorithms and models that drive our marketplace. We are committed to building machine learning models that facilitate our customers' success.As a Data Scientist on the Retailer team, you will engage in a variety of challenges, including optimizing logistics and freight costs and determining optimal credit limits. You will also play a vital role in expanding Faire's retailer base by enhancing search engine optimization, personalizing landing pages for new retailers, and forecasting retailer lifetime value. You will work closely with fellow data scientists, engineers, and product managers to execute projects that derive value from our unique, extensive, and rapidly evolving two-sided marketplace data.Our team comprises experienced Data Scientists and Machine Learning Engineers from leading organizations such as Uber, Airbnb, Square, Facebook, and Pinterest. With your contributions, Faire aims to become a premier destination for data scientists and machine learning professionals.

Join Forward Financing, a dynamic financial technology company headquartered in Boston, Massachusetts, with a diverse team operating across the United States, Dominican Republic, and Canada. Our mission is to empower small businesses across America by unlocking the capital they need to thrive. Recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®, we are committed to investing in our employees, innovative technology, and exceptional customer experiences to ensure long-term success.We are looking for a Senior Data Scientist to lead comprehensive data science projects, transforming complex data into actionable insights and automated solutions that enhance our operations. In this role, you will leverage your advanced modeling capabilities and business acumen to construct, deploy, and scale sophisticated analytical solutions that yield significant impacts across all areas of Forward Financing.Key Responsibilities:Design, develop, and implement advanced statistical and machine learning models focused on credit risk, pricing, collections, fraud detection, and other critical business scenarios that foster informed decision-making.Manage the complete model lifecycle, from initial data exploration and feature engineering to deployment, monitoring, and continuous enhancement.Collaborate with cross-functional teams in Portfolio Strategy, Collections, Engineering, Product, Underwriting, and Sales to seamlessly integrate models into our applications.Effectively communicate complex technical concepts, model outputs, and business implications to both technical and non-technical stakeholders.Create production-quality code and contribute to internal toolkits, documentation, and peer code reviews to ensure excellence in delivery.Develop and maintain reliable production machine learning pipelines and monitoring systems to ensure model performance, scalability, and ongoing improvement.Reasons to Apply:Mission-driven environment: As a trusted source of fast, flexible funding for small businesses often overlooked by traditional financing, your work will help ensure that all small businesses have the financial support necessary to succeed.Commitment to flexibility: We prioritize empowering our employees to choose their work environment (home, office, or a blend) with adaptable working hours.

Join Clutch: Shaping the Future of Car Ownership At Clutch, we are dedicated to transforming the way individuals buy, sell, and own vehicles. Are you ready to make an impact? As Canada's premier platform for buying and selling cars, Clutch provides a seamless, digital-first experience. Customers can explore a vast selection of vehicles online, have their chosen car delivered directly to them, and benefit from our 10-Day Money-Back Guarantee for peace of mind. Looking to sell your car? We purchase over $3 million worth of vehicles daily, offering immediate, AI-generated quotes every 15 seconds. With Clutch, you get paid instantly—now that’s what we call convenience! Recognized for four consecutive years on The Globe & Mail’s list of Canada’s Top Growing Companies and consistently featured in Deloitte’s Technology Fast 50™ and Fast 500™, we are on the lookout for passionate, driven individuals to join our expanding team. Founded in 2017 and based in Toronto, Clutch is operational in Ontario, New Brunswick, Nova Scotia, and Prince Edward Island. Our esteemed investors include Altos Ventures, Canaan, FJ Labs, BrandProject, and Upper90. Discover more at clutch.ca. About the Consumer Financing Team: At Clutch, we are committed to creating an integrated car buying and ownership experience, with financing as a pivotal component. We are developing our consumer financing capabilities from scratch to provide customers with a straightforward and transparent approach to vehicle financing, while simultaneously supporting Clutch’s growth through a scalable and disciplined lending platform. In this role, you will significantly influence our lending strategy, risk framework, and operations as we bring this initiative to fruition. Your Role: We are seeking a Senior Manager for Credit & Risk to design and oversee the credit strategy and risk framework for Clutch’s consumer financing program. You will be responsible for determining how we assess risk, make credit decisions, appropriately price offers, and manage portfolio performance over time. This is a foundational role ideal for someone who thrives in ambiguity, is hands-on, and is adept at creating scalable credit systems that evolve with volume. As a key player, you will collaborate closely with the Director of Consumer Financing and work across departments—including Product, Engineering, Operations, Sales, and Customer Experience—to embed risk management into the customer journey, while establishing the monitoring, controls, and feedback mechanisms to ensure responsible performance management.

About Instacart Instacart connects people with the groceries they love. The team works to make grocery shopping more accessible, supporting both customers and Instacart Personal Shoppers. Instacart aims to provide essential services for millions while offering flexible earning opportunities. Flexible Work at Instacart Instacart follows a Flex First approach. Employees can choose to work from home, an office, or another preferred location. Regular in-person events help maintain strong connections. Learn more about Instacart's flexible work options. Role Overview: Senior Data Scientist (Levels I & II) This posting covers multiple Senior Data Scientist roles within Instacart's four-sided marketplace. Openings are available at both L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. During the hiring process, candidates will learn about the team's challenges and participate in a team-matching step to find the best fit. Details about specific open roles appear at the end of the process. Location Remote within Canada (Ontario, Alberta, British Columbia, or Nova Scotia only). What You Will Do Develop and maintain analytical frameworks to guide product decisions. Design and run experiments, then interpret results to provide clear recommendations. Create statistical models to spot trends, measure outcomes, and forecast product performance. Build simulations to assess the effects of proposed product or policy changes. Promote data-driven decisions by building dashboards and analytical tools for wider use. Apply knowledge in causal inference and machine learning to uncover insights.

Join Plusgrade as a Senior Data Scientist, where you will leverage your expertise to drive impactful data analysis and machine learning solutions. Collaborate with cross-functional teams to develop innovative strategies that enhance our product offerings and optimize customer experiences.

We are seeking a highly skilled Senior Business Analyst with a focus on Capital Market Risk Analytics, specifically in Liquidity Risk. The ideal candidate will possess around 10 years of relevant experience and a unique blend of expertise in risk modeling, risk analytics, risk software implementation, and software programming.The candidate must demonstrate substantial hands-on experience in developing risk models or quantitative risk analytics, combined with a solid understanding of financial products across retail banking, corporate banking, and capital markets. This knowledge should stem from working within risk, finance, or treasury functions in a large banking environment.Essential qualifications include at least one year of experience implementing liquidity risk solutions from renowned vendors such as Algorithmics or Sunguard, with a strong preference for familiarity with Algorithmics’ RiskWatch.Applicants should also have a theoretical grasp of basic financial and valuation models for bonds and swaps, along with the capability to model cash flows across various financial products. Additionally, candidates should be adept at creating shocks and scenarios for stress testing.A comprehensive understanding of regulatory requirements, including Basel, FSA, and OSFI for credit, market, operational, or liquidity risk, is a must. The candidate should have experience with at least one end-to-end implementation, ideally involving Basel 2 or Basel 3.Furthermore, a minimum of three years of IT experience in system implementation, programming, or software product development is required. The candidate will be responsible for writing data extraction specifications and creating database structures for efficient data storage and liquidity computations, while also engaging in testing data extracts, addressing data gaps, and validating reports and final figures.Knowledge of complex financial instruments such as derivatives, repurchase agreements, securitization products, leasing, fixed income, and various financial securities will be highly advantageous.Strong communication skills and financial/risk expertise are crucial for conducting meetings with senior members of Group Treasury, Finance, and Group Risk Management.We encourage candidates with a Bachelor's degree in a quantitative discipline (finance, economics, engineering, or mathematics) and significant experience in measuring/managing at least one financial risk type, preferably liquidity risk, to apply.

Join Dropbox as a Senior Data Scientist in our AI Products team, where you'll leverage your expertise in data analytics and machine learning to drive innovative AI-powered solutions. Collaborate with cross-functional teams to analyze complex data sets, develop predictive models, and enhance our product offerings. This role requires a passion for data, a deep understanding of AI technologies, and the ability to translate insights into actionable strategies.

Join the Grocery RevolutionAt Instacart, we believe in connecting people through the joy of food. Our mission is to ensure everyone has access to their favorite groceries and the time to enjoy them together. While many see grocery delivery as a simple service, we see a world of complexity and untapped potential to meet our community's diverse needs. We are dedicated to providing an essential service that customers can depend on for their grocery and household needs, while also creating safe and flexible earning opportunities for our Instacart Personal Shoppers.Instacart has become a vital resource for millions, and we are building a team to propel our vision forward. If you're ready to make a significant impact in your career, we invite you to join us.Instacart embraces a Flex First approachWe understand that there isn't a one-size-fits-all solution for productivity. Our team members have the freedom to choose their optimal work environment—be it from home, in an office, or at a favorite café—while staying connected and fostering community through regular in-person events. Learn more about our flexible work philosophy.Role OverviewThe Ads Auctions team is tasked with innovating and refining auction mechanisms to establish a competitive and transparent marketplace that serves both advertisers and consumers. Our focus encompasses the entire auction workflow, including candidate filtering, pricing strategies, bid optimization, and selection processes, all aimed at harmonizing user experience with advertiser value. As a Senior Data Scientist, you will play a crucial technical role in shaping the evolution of our auction systems, driving enhancements to our CPC (cost-per-click) infrastructure and bidding algorithms that directly influence advertiser success and Instacart's advertising revenue.

Relay is an innovative digital banking platform designed to empower self-made entrepreneurs with essential financial tools and insights. Our mission is to eliminate financial uncertainty, providing clarity, confidence, and control over every dollar earned, enabling business owners to transform their hard work into enduring success.We are seeking an experienced Senior Data Scientist to join our impactful Data team. In this pivotal role, you will enhance Relay's data capabilities by developing predictive models, facilitating experimentation across various teams, and supporting data-driven decision-making processes. As a key strategic partner, you will collaborate closely with data engineering and business intelligence to translate complex business inquiries into actionable insights that drive success in GTM, Sales, Finance, and Product.Note: We operate in a hybrid work environment, collaborating in the office three days a week (Tuesday to Thursday).Key ResponsibilitiesLead predictive modeling initiatives across critical business areas such as customer lifetime value (LTV), churn analysis, retention strategies, and customer quality assessment.Facilitate the implementation of Relay's experiment infrastructure, establishing rigorous A/B testing protocols to enable confident, data-informed decisions across the organization.Collaborate with cross-functional teams including GTM, Sales, Finance, and Product to convert ambiguous business challenges into well-defined analytical problems with measurable outcomes.Define and refine core metric definitions to ensure the business operates from a consistent and reliable data foundation.Present insights and findings to stakeholders through compelling narratives that go beyond mere numbers, illustrating their implications and next steps.Contribute to strategic roadmap planning and influence prioritization decisions among data team members and cross-functional partners.Mentor junior data scientists to elevate the standard of business-aligned, impactful data science across the team.Ideal Candidate ProfileYou possess hands-on experience in building...

About the Role HelloFresh is looking for a Senior Data Scientist focused on menu personalization to join the team in Toronto, Ontario, Canada. This role centers on building and refining recommendation systems that help customers discover the most relevant and appealing menu options across HelloFresh’s global markets. What You’ll Do Design, implement, and improve algorithms for personalized menu recommendations. Work closely with other Data Scientists and collaborate with Data, Backend, and Machine Learning Engineers to turn statistical methods and ML models into real product features. Shape the customer experience by ensuring menu selections are tailored and engaging, directly impacting business growth. Propose multiple approaches to problems, drawing on past experience, and prioritize solutions by effort and potential impact. Balance independent work with team support, contributing as a senior member and offering guidance when needed. What Will Help You Succeed Curiosity and comfort with ambiguity. Ability to quickly learn and adapt to new challenges. Strong focus on identifying and prioritizing the right problems to solve. Experience customizing solutions for different business needs.

Role overview Jobgether seeks a Staff Data Scientist in Canada to drive data analysis and modeling efforts that inform strategic decisions across the organization. This role centers on developing insights and solutions that help shape both products and services. Collaboration The Staff Data Scientist partners with teams from multiple departments. Close collaboration ensures that data-driven approaches are integrated into projects and initiatives throughout Jobgether. Key focus areas Analyze data to support company-wide strategies Build and apply models to real business challenges Contribute to the improvement of Jobgether’s offerings through evidence-based recommendations

Join Clearco as a Senior Data Scientist and leverage your analytical expertise to drive data-driven decisions that enhance our financial technology services. You will work closely with cross-functional teams to develop predictive models, analyze complex datasets, and provide actionable insights.

Join Fullscript as a Lead Data Scientist and play a critical role in shaping our data strategy. In this position, you will leverage your expertise in data science to analyze complex datasets, develop predictive models, and provide actionable insights that drive business decisions. You will lead a team of data scientists, fostering a collaborative environment that encourages innovation and excellence.

YOUR PROFILEWe are in search of a data-savvy innovator who excels at the crossroads of engineering and analytics. You possess a strong sense of ownership and thrive in dynamic environments, adeptly balancing speed with accuracy. As a team player and mentor, you elevate team standards and foster discipline while translating intricate technical ideas into tangible business outcomes. Your enthusiasm for developing scalable solutions is matched by your exceptional communication skills, enabling you to effectively connect with both engineering teams and business stakeholders.ABOUT XSOLLAXsolla is a leading global commerce platform dedicated to empowering video game developers with innovative tools and services to navigate the unique challenges of the gaming industry. Whether partnering with indie developers or AAA studios, Xsolla supports companies in funding, distributing, marketing, and monetizing their games. Driven by a passion for the future of gaming, Xsolla is committed to uniting opportunities and consistently expanding resources for creators. Headquartered in Los Angeles, California, Xsolla serves as a merchant of record for over 1,500 game developers worldwide, providing diverse pathways to profitability and helping them reach new audiences. Experience all the possibilities to enjoy the game with Xsolla.For more insights, visit xsolla.com.

About Borrowell:At Borrowell, our mission is to empower Canadians to take charge of their financial futures. We provide the necessary tools and insights to help individuals understand, build, and effectively utilize their credit. Currently, 1 in 10 Canadians rely on Borrowell for extensive credit monitoring and tailored insights. Our innovative offerings, such as Credit Builder and rent reporting, assist consumers in enhancing their credit profiles, enabling access to a broader array of financial products at more competitive rates. Additionally, we deliver personalized financial product recommendations from Canada's most trusted providers, aligning with each member's credit profile and financial aspirations.Our team thrives on diversity, inclusivity, and a shared commitment to making a significant difference in the lives of Canadians. We cultivate a collaborative, humble, and innovative culture. If you are eager to join a company that is reshaping the financial landscape and empowering Canadians to achieve their financial goals, we encourage you to explore career opportunities at Borrowell. Together, we can inspire confidence in managing money.About the Role:As a Senior Data Scientist, you will be pivotal in shaping Borrowell's core machine learning capabilities and guiding product direction through data-informed decisions. You will collaborate closely with leaders from Product, Business, Data, and Engineering to design, build, and scale machine learning systems that enhance member experiences, drive our recommendation and ranking engines, and directly influence marketplace conversion and approval metrics.This role is hands-on and product-oriented, granting you end-to-end ownership—from problem identification and model design to testing, measurement, and iteration within production. You are expected to serve as a technical leader, establishing modeling directions and elevating data science standards across the organization.In your first year, you can anticipate:Leading impactful machine learning initiatives, including crucial technical and product trade-off decisions, with the aim of improving business KPIs through product ranking, intent prediction, and approval likelihood models.Translating strategic objectives into actionable models, collaborating with Product and Business stakeholders to define complex business goals as clear machine learning problems, success metrics, and experimental plans.Building, evaluating, and continuously refining production models by developing robust features, training, calibrating models, and enhancing performance through systematic evaluation and A/B testing.Driving measurable business results by correlating model performance with conversion rates, approval statistics, revenue, and member engagement, and effectively communicating the impact to stakeholders.Establishing best practices for experimentation and model deployment.

Who we are:Geotab Inc. is a premier global leader in the Internet of Things (IoT) and connected transportation, recognized as a certified “Great Place to Work™.” Our diverse and talented team collaborates to empower businesses to grow, while enhancing the safety and sustainability of our communities.At Geotab, we are revolutionizing fleet management by integrating commercial vehicles with web-based analytics, enabling our customers to optimize their operations. Our open platform and Geotab Marketplace® give businesses of all sizes the flexibility to automate and enhance their fleet management through rich data insights. With billions of data points processed daily, we harness the power of data analytics and machine learning to boost productivity, reduce fuel consumption, improve driver safety, and ensure strong compliance with regulatory mandates.As our team expands, we are in search of passionate individuals who think innovatively and aspire to make a significant impact. Our fast-paced, dynamic environment is one where challenges are embraced, and team members are encouraged to take on new responsibilities that may extend beyond their original job descriptions. Join us for a rewarding career filled with opportunities to innovate, comprehensive benefits, and an engaging, inclusive workplace culture. Unleash your full potential with Geotab. To learn more about life at Geotab, visit our blog and follow us @InsideGeotab on Instagram. Join our talent network to stay updated on job opportunities!