Source Job

• Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
• Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
• Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.

Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.

• Build and deploy machine learning models to detect and respond to fraud across the platform.
• Design experiments to measure the impact of fraud interventions, balancing customer experience and loss reduction.
• Collaborate with fraud operations, engineers, and product managers to translate model outputs into real-world mitigations.

Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions in transactions monthly. They have a people-first culture focused on learning and inclusion, valuing diversity and employee well-being.

• Leverage advanced analytics, machine learning, and large-scale data to design innovative risk solutions and tackle complex fraud challenges.
• Work closely with clients and cross-functional teams to optimize decision-making and improve product performance.
• Drive a data-first culture by promoting analytical thinking and data-driven decision-making across teams and client engagements.

Our partner is a fast-growing, remote-first company at the forefront of fraud prevention and financial risk intelligence. They offer a high-growth international environment with world-class professionals and a supportive culture.

• Lead a team of business analysts and data scientists embedded in SentiLink's sales process and partner relationships, building compelling, data-driven business cases.
• Own and expand the team's scope to deepen consultative work with partners and generate early-stage pipeline through analytical hooks.
• Act as a hands-on leader who pairs analytical judgment with exceptional communication skills, building trusted relationships as a coach, mentor, and strategic partner.

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. Backed by world-class investors like Craft Ventures and Andreessen Horowitz, the company has earned recognition from Forbes Fintech 50 and operates as a digital-first company with offices across the US and India.

• Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
• Partner with client stakeholders to develop data-driven strategies and present findings to executives.
• Mentor team members and influence data governance and best practices within the organization.

Excella is a transformative technology firm that helps organizations unlock new possibilities. They are committed to developing talent and providing opportunities for career growth at every stage, with a collaborative team dedicated to solving complex problems.

• Design and execute structured evaluation frameworks to assess the quality and fraud-signal value of incoming data assets from vendor partners.
• Build lift analyses, backtests, and champion/challenger comparisons to quantify the incremental value of new data signals against our existing fraud detection stack.
• Collaborate with fraud leadership to define evaluation criteria and translate vendor data findings into actionable recommendations such as adopt, pilot, or decline.

Sardine is the leading agentic risk platform for fighting financial crime, unifying data across risk teams to stop fraud in real time and prevent AI-driven attacks. They are a remote-first company with hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo, valuing performance and self-motivated individuals.

• Partner with business leaders to identify opportunities and develop analytical strategies.
• Create predictive models and scalable machine learning solutions to optimize customer acquisition and retention.
• Translate complex data findings into clear business recommendations and drive experimentation.

This company leverages advanced data science and machine learning to solve complex business challenges. It fosters a collaborative and inclusive culture focused on innovation, growth, and teamwork.

• Lead and mentor a high-performing data science team at the intersection of blockchain, intelligence, and machine learning.
• Drive technical innovation across a diverse stack including Airflow, BigQuery, Kafka, and Python.
• Collaborate cross-functionally to transform raw blockchain data into insights for TRM's products and customers.

TRM Labs provides AI-powered intelligence solutions for public and private sector agencies to investigate and disrupt crime. It is a Series C company with $220M in total funding, backed by Blockchain Capital and Goldman Sachs, operating as a distributed-first company.

• Own the full lifecycle of statistical and machine learning model development, from data exploration to deployment.
• Improve efficiency in credit risk, fraud, marketing, and collections by deploying modeling solutions.
• Research and develop new methods and tools to improve the business and present results to leadership.

Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada. The company is a leading lender with a dynamic, collaborative culture and a portfolio of distinguished brands.

• Drive product and business impact through statistical modeling, experiment design, and Bayesian marketing analysis across our search engine and AI products.
• Build monitoring pipelines and evaluation datasets to detect traffic pattern shifts and improve AI-assisted answers in a privacy-first environment.
• Collaborate with product teams to design and analyze experiments, deriving insights from sparse, privacy-constrained data.

DuckDuckGo is an online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, we offer a culture of trust, inclusivity, and empowered project management where each team member takes full ownership of their projects.

• Define the technical strategy and roadmap for credit risk and fraud detection using statistical and ML approaches.
• Design, build, and deploy production-quality machine learning models for credit scoring, fraud detection, and risk modeling.
• Collaborate closely with Engineering, Product, Risk, and Operations teams to align data science strategy with business goals.

Djamo builds the future of banking in Africa with a super-app that combines payments, transfers, savings, and budgeting. Launched in 2020, the company serves over one million users and is backed by investors like Y Combinator and Partech, fostering a culture of innovation and inclusion.

• Manage, mentor, and grow a team of data scientists while fostering team development.
• Collaborate on complex problems using R, Python, or SQL to optimize data processing and derive insights.
• Communicate findings and engage with internal and external stakeholders to develop tailored solutions.

iSpot is a TV ad measurement and analytics startup delivering valuable insights to clients. It is a fast-growing Seattle-based company with a collaborative culture, competitive compensation, and a focus on innovation.

• Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers.
• Bridge the gap between HR and development, transforming raw workforce data into strategic products.
• Ensure data stewardship, privacy compliance, and develop AI agents for real-time insights.

Canonical is a pioneering tech firm at the forefront of the global move to open source, providing Ubuntu widely used in enterprise initiatives like public cloud, data science, AI, engineering innovation, and IoT. We are founder-led, profitable, and growing, with a worldwide distributed collaboration since 2004, and we have no central headquarters.

• Own the full fraud policy lifecycle, from signal analysis and risk design to implementation and optimization, to protect all products and customer interactions.
• Lead cross-functional fraud initiatives across Engineering, Product, Compliance, and external partners like Visa, serving as primary escalation for incidents.
• Build fraud dashboards, mentor junior analysts, and drive alignment on risk decisions that balance exposure, customer experience, and regulatory requirements.

EarnIn is a fintech pioneer that builds products delivering real-time financial flexibility for those living paycheck to paycheck. The company has an experienced leadership team, world-class funding partners like A16Z and Matrix Partners, and is growing fast with a healthy core business.

• Lead a team of data engineers, analysts, and scientists to build Docker’s next-generation data framework and optimize data sharing across the organization.
• Own the roadmap for data modeling and insights delivery, align projects with business objectives, and maintain Docker’s single source of truth for data.
• Facilitate discussions with business leaders to identify data capabilities, build data strategy, and mature data models for self-serve analytics and machine learning.

Docker is a developer tooling company trusted by over 20 million monthly users and more than 20 billion container image pulls. They are a globally distributed, remote-first team building the tools that define how software gets built and delivered.

• Develop predictive forecasting models and pipeline analytics to improve revenue forecasting and operational visibility.
• Partner with Revenue Operations, Finance, and Data Engineering teams to enhance data-driven decision making and AI readiness.
• Build scalable dashboards, models, and analytical frameworks to support sales productivity, customer insights, and churn analysis.

We are a global leader in Network as a Service (NaaS), transforming how businesses connect to cloud, data centers, and each other. With over 600 employees across Asia-Pacific, Europe, and the Americas, we foster a collaborative, supportive, and fun culture.

• Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
• Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
• Mentor junior data scientists and influence technical decisions within the team.

OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.

• Use SQL and other analytical tools to conduct in-depth analysis of customers, transactions, alerts, and risk ratings.
• Develop, tune, and maintain transaction monitoring and sanctions screening models to improve detection and reduce false positives.
• Partner with compliance, product, and data leaders to translate regulatory requirements into effective analytical frameworks.

Mercury is building a complete finance stack for startups, providing banking services through partner banks. As a fintech company, they focus on creating a safe and easy banking experience while protecting against bad actors, with a culture of high agency and adaptability.

• Lead cross-functional teams to drive revenue initiatives through data-driven recommendations.
• Own and identify innovative strategies to maximize revenue and enhance client acquisition.
• Improve quantitative analysis techniques and data infrastructure to uncover revenue opportunities.

Extend provides AI-driven solutions for retailers to enhance post-purchase experience, including automated customer service, returns, fulfillment, and fraud detection. The company works with over 1,000 merchant partners across various industries and is backed by prominent technology investors.

• Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance.
• Build buying models that maintain positive ROAS and drive lead quality improvements across a portfolio of brands.
• Establish direct partnership with vertical business stakeholders and identify net-new modeling opportunities.

Launch Potato is a digital media company that reaches over 30M monthly visitors through brands like FinanceBuzz and All About Cookies. Headquartered in South Florida with a remote-first team spanning over 15 countries, they have a high-growth, high-performance culture.