Be the dedicated data science partner to the Consolidation product team, owning the analytics and modeling that power product-led growth across onboarding, activation, and full consolidation.
Design and analyze rigorous product experiments across the client journey, from first funding through to full asset consolidation, using A/B testing, non-inferiority tests, and other causal inference methods to measure the impact of product changes on key growth metrics.
Develop deep product analytics to understand how clients move through the consolidation funnel, linking external accounts, reaching their first $5k, adopting multiple products, and identify where the biggest opportunities exist to accelerate that journey.
Wealthsimple helps everyone achieve financial freedom by reimagining what it means to manage your money. They are the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Deep dive into trends and provide data driven insights to identify risky behavior.
Develop customer and program segmentation frameworks to enable proportionate monitoring.
Create dashboards to monitor performance across relevant metrics and create alerts.
Lithic creates card issuing and payment infrastructure for technology companies. They help some of the world’s fastest-growing digital banks, fintech companies, and software companies process billions in transactions annually.
Translate complex business problems into structured analysis.
Build low-latency data pipelines and streaming analytics solutions.
Create interactive live dashboards using leading BI platforms.
Trustonic provides affordable smartphones by offering secure smartphone locking technology. With partnerships across 30+ countries, they enable device financing solutions, driving economic inclusion, profitability, and growth. They value diversity and flexibility, encouraging employees to work where they're most productive.
Provide competitive market analysis and ensure data quality for financial products and services.
Conduct research and analysis to assess products/services, aiding businesses in making informed decisions.
Assign projects to researchers and liaise with data research, editorial, methodology, and SEO teams.
Forbes Advisor helps readers turn their aspirations into reality, providing trusted advice and guidance for informed decisions. They are an experienced team of industry experts with decades of experience across various fields, committed to helping readers make smart choices.
Design, build, and maintain high-quality analytical data models that support core brokerage and ledger workflows.
Own critical datasets that power client-facing metrics, operational decision-making, and regulatory reporting.
Partner closely with product managers, engineers, operations, finance, compliance, and CX teams to understand stakeholder needs and translate them into durable data solutions.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, they take financial services that are often confusing and expensive and make them transparent and low-cost for everyone. They’re the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Build data products and algorithms that optimize marketing performance across multiple channels.
Design and implement measurement strategies for marketing initiatives, including attribution modeling.
Drive marketing strategy through data insights, A/B testing, and causal inference methodologies to maximize ROI.
Wealthsimple aims to provide financial freedom by simplifying money management. They are the largest fintech company in Canada, with 3+ million users and $100 billion+ in assets, emphasizing collaboration, open communication, and quality.
Assist our editorial team in creating top-quality content.
Lead a team that provides competitive analysis on the market.
Ensure the quality and accuracy of data collection and analysis for various subjects.
Forbes Advisor aims to help readers turn their aspirations into reality by providing trusted advice and guidance for informed decisions. They are an experienced team of industry experts of a seasoned and successful company.
Act as a trusted business advisor to the Core Service team, proactively identifying trends and driving efficiency improvements
Own the design of dashboards, metrics, and reports, turning data into actionable insights for the fraud, funding, risk and support experience teams
Dive into large, complex datasets/logs to turn your findings into scalable data models necessary to facilitate reporting, analytics and ML models
Kraken is committed to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. It is a fully remote company with Krakenites in 70+ countries who speak over 50 languages.
Partner with Internal AI & Data Engineering teams to plan, build and test AI solutions.
Drive improvements to business processes by addressing performance bottlenecks and growth opportunities through analytics, AI, and automation.
Collaborate with T&E and Data Engineering teams to perform data analysis and build dashboards/visualizations to support business and compliance requests.
Atlassian's software products help teams all over the planet, with solutions designed for all types of work. They believe that the unique contributions of all Atlassians create their success, incorporating everyone's perspectives and experience.
Work with large, messy, and complex data sets using analytical, statistical, ML, and AI approaches.
Collaborate with Data and Analytic Engineers to improve data quality and generate reusable assets.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
Weedmaps is a global leader in the cannabis industry, dedicated to transparency, education, and community. Founded in 2008, Weedmaps fosters a bustling and collaborative culture that focuses on the benefits of weed and the community that supports it.
Translate data into strategy by analyzing client revenue, product usage, and interaction data to generate insights that drive growth and retention.
Create, maintain, and evolve the suite of reporting metrics, covering client revenues, product adoption, interactions, issue escalations and others.
Design and maintain Looker dashboards to enable self-service analytics for Relationship Managers and Customer Success, ensuring they have the data needed to manage a global client base.
Xapo Bank aims for economic freedom and wealth protection, regardless of location. They are a fully distributed team of over 130 Xapiens working remotely from 30+ countries, headquartered in Gibraltar and committed to changing the way things are done.
Lead custom analytics and modeling engagements from scoping through delivery and ongoing support.
Develop credit strategies and ML models (underwriting, line assignment, pricing, early warning, collections).
Engineer features from alternative, transactional, and bureau data (e.g., recency, frequency, volatility, trend, and behavioral metrics).
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. As a FTSE 100 Index company listed on the London Stock Exchange, they have a team of 22,500 people across 32 countries.
Build and scale the roadmap for fraud decisioning, ensuring our models stay ahead of emerging typologies.
Mentor and develop a team of data scientists, fostering a culture of mastery and continuous learning.
Partner with Product and Engineering to design and deploy real-time decision logic and data architectures.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. They provide payments, banking, credit, and financial management tools, reliable products that people and businesses use every day.
Build predictive models to understand drivers of member retention, churn, reactivation, and LTV.
Lead the design, implementation, and analysis of A/B tests and other experiments.
Develop dashboards and reporting tools to visualize membership funnel KPIs, cohort performance, and the impact of product/business changes on member outcomes.
Oura's mission is to empower every person to own their inner potential. They provide daily insights and practical steps to inspire healthy lifestyles through their Oura Ring and connected app, helping millions understand and improve their health. As a quickly growing company, they ensure that team members have what they need to do their best work — both in and out of the office.
Perform comprehensive evaluations of data assets across the full credit and fraud lifecycle, ensuring strong regulatory compliance and risk governance.
Conduct rigorous benchmarking and champion/challenger analyses to compare external data assets against internal attributes, scores, and predictive models, ensuring measurable lift, ROI and benefits.
Develop advanced machine learning solutions and algorithms to solve complex analytical challenges.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries.