Develop and monitor predictive credit scoring and churn models using transactional data.
Implement generative AI and advanced algorithms to automate credit analysis and ensure compliance.
Design real-time dashboards to track key performance indicators like FPD and PDD.
Wellhub is revolutionizing workplace wellness by connecting employees worldwide to partners for fitness, mindfulness, therapy, nutrition, and sleep. Headquartered in NYC with team members across Europe, North America, and South America, we have a collaborative culture that values wellbeing and diversity.
Build and deploy machine learning models for credit and fraud risk management.
Collaborate with engineering to deploy models into production and analyze portfolio performance.
Communicate findings to stakeholders and develop internal tools for data science productivity.
Prosper is a fintech company that offers personal loans and credit cards through a digital marketplace. They have helped over 2 million customers and emphasize a collaborative, inclusive culture with flexible work options.
Own the full lifecycle of ML models for credit risk decisions, from feature engineering to production and monitoring.
Design and improve approval amount sensitivity models, credit line optimization, and loss forecasting.
Partner cross-functionally with risk, engineering, finance, and sales to shape both technical infrastructure and business strategy.
Kafene is a fintech company revolutionizing lease-to-own with AI and machine learning. With over $500 million in originations, our 175-person team operates from NYC and globally, fostering a collaborative culture recognized by Built In and Forbes.
Design, develop, validate, and evolve analytical and predictive models for pattern detection, anomaly identification, and risk classification.
Operationalize AI solutions for automation of recurring analyses, detection of deviations, and evaluation of large volumes of structured and unstructured data.
Participate in the full model lifecycle from data exploration to deployment, monitoring, and evolution in production environments.
CI&T helps large companies transform AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they foster a culture of continuous learning and innovation.
Lead and mentor a team of quantitative professionals while personally executing rigorous validations of machine learning models for underwriting and credit risk.
Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous monitoring.
Collaborate with cross-functional stakeholders to enhance the enterprise-wide Model Risk Management framework and ensure compliance with internal and regulatory standards.
Affirm is a financial technology company that provides buy now, pay later services without hidden fees or compounding interest. It is a publicly traded, remote-first company with a large workforce and a culture focused on innovation, risk management, and putting people first.
Lead the development of analytical, statistical, and machine learning solutions for client use cases.
Translate business questions into structured analytical approaches, modeling strategies, and measurable outputs.
Apply AI methods including LLM workflows to support classification, pattern detection, and decision support.
Valtech is an experience innovation company that partners with leading brands to unlock new value in the digital world. With a global, borderless framework and a culture that fosters creativity, diversity, and autonomy, we empower our people to thrive and grow.
Lead design and implementation of data science initiatives from problem definition to production deployment.
Develop, evaluate, and optimize machine learning models on AWS, owning the full data science lifecycle.
Mentor data professionals and partner with stakeholders to drive measurable business value.
The company is a partner of Jobgether, providing data science and machine learning solutions for complex business challenges. It offers a collaborative remote environment with experienced professionals and strong autonomy.
Structure, integrate, and maintain scalable data solutions for credit origination, monitoring, and risk analysis.
Build and evolve the credit analytics layer including datamarts, indicators, and reusable components.
Implement data quality, governance, and observability controls while ensuring compliance with LGPD.
Jobgether is an AI-powered recruitment platform that connects candidates with job opportunities using an objective matching process. It operates with a small team, focusing on efficiency, fairness, and data privacy.
Supports data extraction, organization, and analysis from various sources for fraud prevention studies.
Contributes to data preparation and feature engineering for building analytical models.
Participates in the development, training, validation, and deployment of machine learning models for biometrics, liveness, and device intelligence.
Serasa Experian is the first and largest Datatech in Brazil, a leader in intelligence solutions for risk analysis and opportunities. With 22,000 employees across 32 countries, the company fosters a culture of innovation, inclusion, and well-being, committed to building a better future for people and businesses.
Deliver and communicate high-quality data-driven analyses to key stakeholders, providing actionable insights.
Access, cleanse, and analyze internal and external data to support B2B credit risk management and pricing strategies.
Conduct data exploration, validation, and audits to identify data quality issues and recommend improvements.
TreviPay provides a global B2B payments and invoicing network for sellers, offering integrations with eCommerce and ERP solutions. With 40 years of experience, they serve leaders in manufacturing, retail, and transportation, fostering a supportive, collaborative, entrepreneurial environment.
Partner with the Business Unit Lead to identify gaps in decisioning performance and implement solutions.
Build production machine learning models to identify fraud in collaboration with other data scientists.
Communicate complex ideas to a variety of audiences, from Customer Success to Sales.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with customers. Their advanced technology creates frictionless shopping experiences, and they are trusted by thousands of merchants across over 100 countries.
Use data, experimentation, and machine learning to solve complex product and business problems at high-growth startups.
Partner with product, engineering, and business leaders to identify high-impact opportunities for data science.
Develop predictive models, design experiments, and translate analyses into clear recommendations for stakeholders.
SignalFire is a venture capital firm that partners with top early-stage startups shaping the future of technology. With a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS, they are looking to connect with exceptional data scientists who are excited about using data, experimentation, and machine learning to solve complex problems.
Partner with stakeholders to solve complex business challenges through data, transforming ambiguous questions into structured analytical approaches.
Design, define, and maintain business KPIs, ensuring metric consistency and data quality across teams and regions.
Analyze large datasets using SQL and Python, and build Power BI dashboards to support strategic decisions.
AB InBev is the leading global brewer and one of the world's top 5 consumer product companies, with over 500 beer brands. The Growth Group unifies B2B, DTC, Sales & Distribution, and Marketing teams, leveraging data to drive digital transformation and organic growth.
Perform independent validation of financial and analytics quantitative models, including ALM, loss forecasting, and decision-support analytics.
Lead end-to-end validation engagements on high-complexity, high-criticality models to identify weaknesses and improvements.
Collaborate with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to strengthen model governance.
Affirm is a financial technology company that provides buy now, pay later services without hidden fees or compounding interest. It is a publicly traded company with a remote-first culture and a focus on transparency and customer empowerment.