Develop highly scalable and reliable data systems on AWS cloud platform for data-centric products.
Collaborate with Data Science teams to incorporate Machine Learning algorithms using Python and data engineering tools.
Lead and mentor team members, contribute to Agile cycles, and ensure timely delivery of documented software.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide. With 22,500 employees across 32 countries, they foster a culture of innovation and data-driven solutions.
Design, develop, test, and deploy quantitative trading and portfolio management solutions.
Develop and maintain research, backtesting, and portfolio optimization frameworks.
Collaborate with engineering and quantitative teams to deliver production-grade solutions.
Sigma Software is a technology company that offers remote collaboration and professional growth opportunities for developers. They work with international teams across Ukraine and Europe, focusing on impactful fintech solutions.
Develop and maintain fraud detection models through the full model development lifecycle, from data acquisition to monitoring.
Research new types of fraud and build products around identity verification using Python and AWS infrastructure.
Write production-ready code and present analyses to inform data acquisition, product development, and marketing efforts.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. Backed by world-class investors including Craft Ventures and Andreessen Horowitz, the company has grown rapidly, verifying hundreds of millions of identities and earning recognition from Forbes and CNBC.
Conduct rigorous, independent validations of sophisticated credit/fraud models, including machine learning and traditional statistical models.
Develop automated, independent monitoring suites in Python to track KRI/KPI drift, population stability, and feature importance shifts in real-time.
Partner with model developers to drive remediation of validation findings and ensure models are mathematically robust and compliant.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. The company is a remote-first firm with a focus on competitive benefits and an inclusive culture.
Develop and refine strategies for acquiring research data from scientific laboratory instruments.
Engineer and operationalize custom file parsers to handle diverse instrument output formats.
Architect and implement robust data models, scalable data pipelines, and comprehensive tests.
3Pillar Global is an AI transformation partner that helps enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they work with ambitious companies in financial services, healthcare, media, and technology, fostering a remote-first, globally collaborative culture.
Author and maintain Terraform for Snowflake resources across a multi-account, multi-region footprint.
Contribute to role-based access control, schema migration tooling, and CI/CD pipelines for data warehouse operations.
Build and operate customer-facing financial reporting APIs and PCI-scoped ETL pipelines on AWS and Snowflake.
Marqeta is a modern card issuing platform powering companies like Uber, Square, Instacart, and Klarna. They are a publicly-traded company with a focus on innovation and collaboration, offering flexible work and a range of benefits.
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.
Derive insights and support strategy by leveraging data analytics to optimize product, risk, or growth strategies.
Monitor portfolio health by tracking performance metrics, user behavior, and macroeconomic trends.
Write clean SQL and Python to build scalable reporting and partner with Engineering on machine learning and risk models.
Affirm is a fintech company reinventing credit by offering buy now, pay later solutions with no hidden fees or compounding interest. With a focus on honest and friendly consumer finance, Affirm is a large, remote-first company that values diversity and employee wellbeing.
Build, train, and deploy machine learning models and data pipelines using Python, pandas, NumPy, and scikit-learn, ensuring scalability and reliability in production.
Design, implement, and continuously improve LLM-powered applications and Retrieval-Augmented Generation (RAG) pipelines, including prompt engineering, embedding strategies, and vector store integration.
Conduct exploratory data analysis and design data visualizations to uncover trends and communicate key metrics to both technical and non-technical stakeholders.
Great Gray Group is a leading independent provider of trustee and administrative services for Collective Investment Trusts, with over $370 billion in assets under management. They are a high-growth organization backed by Madison Dearborn Partners, fostering a culture of collaboration, innovation, and continuous improvement.
Design, deploy, and maintain scalable ML infrastructure for model training, batch processing, and real-time inference.
Build and manage cloud-based infrastructure with AWS and Snowflake using Infrastructure-as-Code practices.
Develop CI/CD pipelines, automation frameworks, and monitoring for ML systems to improve reliability and governance.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They operate with a team-oriented culture and offer remote work flexibility, focusing on efficient, unbiased recruitment.
Design, develop, and maintain scalable backend services, APIs, and cloud-native applications using Python.
Build and optimize distributed systems, payment processing workflows, and backend infrastructure.
Mentor engineers through code reviews, technical guidance, and knowledge sharing.
The company develops AI-driven financial technology solutions for businesses globally. It offers a fully remote work environment with a collaborative and innovative engineering culture.
Design and build models for target portfolio allocations, balancing risk, return, and client-specific constraints.
Build and maintain systems that translate target allocations into real trades with tax efficiency and cost-aware execution.
Apply risk and portfolio management techniques including optimization, factor-based modeling, and statistical estimation to keep strategies robust.
We are on a mission to make financial products accessible to a broader global audience using AI and digital tools. We are a startup that values trust, teamwork, and adaptability, operating with a small, dedicated team.
Design, develop, and deploy foundational AI and ML models, building robust, scalable pipelines for advanced analytics.
Champion top-tier coding, testing, and MLOps practices, navigating ambiguity to refine pipelines and elevate workflows.
Partner with cross-functional stakeholders to convert strategic needs into technical specs and embed ML features into live applications.
Wave helps small businesses thrive so the heart of our communities beats stronger. They create an environment buzzing with creative energy and inspiration, valuing boldness, quick learning, and generous knowledge sharing.
Lead marketing science and analytics workstreams across client engagements, new business, and internal initiatives.
Apply statistical and data science methods including media mix modeling, regression, causal inference, and experimentation.
Use Python and SQL to analyze data and build reproducible analytical workflows, and translate complex analyses into actionable insights.
Crossmedia is a global media independent focused on creating innovative connections between brands and people. With 500+ employees worldwide, it has been a top-ranked media agency on Ad Age's Best Places to Work for seven years.
Design, build, and operate the online feature store serving ML features to production models with low latency and high reliability.
Build and maintain data pipelines (batch and streaming) that compute, validate, and publish features from source systems.
Act as a technical leader for feature store infrastructure, partnering with Data Science and Engineering teams to drive quality and scalability.
Forward Financing is a financial technology company on a mission to unlock capital for small businesses across America. The company has provided over $3.5 billion in funding to 71,000+ small businesses and is recognized as a Best Place to Work, with a culture focused on employee investment and customer experience.
Design, build, and operate large-scale ML solutions for ad delivery performance.
Collaborate with cross-functional teams to deploy models into production.
Mentor peers and contribute to ML best practices and AI-native development.
The company is a technology firm focused on AI-driven advertising solutions. It operates in a remote-first environment with a collaborative and inclusive culture.
Partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform.
Own the journey from initial exploration to production deployment, translating ambiguous goals into reliable services.
Work across product, software development, performance engineering, and customer-facing implementations.
Baseten powers mission-critical inference for dynamic AI companies like Cursor and Notion. They are rapidly growing, recently raised a $1.5B Series F, and foster a collaborative, forward-thinking culture.
Design, build, and maintain scalable data pipelines and services using Python and modern data engineering frameworks.
Architect and implement data solutions on cloud platforms (AWS, Azure, or GCP) and optimize database performance.
Serve as a technical leader, mentoring junior engineers and collaborating with cross-functional teams to deliver data-driven solutions.
Sagent powers servicers and consumers by transforming the mortgage servicing industry with modern technology. We're a growing joint venture combining Fiserv's fintech expertise with Warburg Pincus, hiring innovators to disrupt the lending space.
Own and improve WDL and Nextflow workflows on AWS infrastructure, ensuring pipelines are easy for scientists to run without engineering support.
Build and harden internal tooling to reduce manual work, and implement testing, monitoring, and alerting to surface failures early.
Partner with science leads and data scientists to get new methods into production, and use coding agents as a routine part of engineering.
Natera is a global leader in cell-free DNA testing, dedicated to oncology, women's health, and organ health. The team consists of highly dedicated statisticians, geneticists, doctors, and software engineers from world-class institutions, working together to change the landscape of genetic disease management.