Build a deep understanding of client business and digital performance, supporting the identification of actionable insights and making relevant recommendations to drive results.
Collect, organize, and analyze complex data sets from websites, apps, social, and media platforms using web analytics, survey tools, and mobile measurement technologies.
Develop tagging requirements, validate tracking, and conduct data quality assurance, partnering with Technology teams to document and resolve issues.
Contribute to measurement strategy and framework development, gradually building expertise in using analytics to inform optimization and strategic decisions.
Generate and interpret reports and dashboards in Excel, Tableau, or DW/BI systems, performing ongoing data quality checks and supporting multiple teams’ needs.
Requirements
Bachelor's degree in a quantitative or technical field
Work alongside traders, quant researchers and other developers to help design and build reliable, timely and accurate data and analytics to our trading and research teams.
Lead research that directly influences options market-making performance, turning market observations, trader intuition and data into systematic, measurable and scalable improvements across pricing, prediction, execution and risk-taking.
Lead research across option pricing, volatility modelling, alpha generation and algorithm design for low-latency, exchange-traded options strategies
Translate complex trading questions and practitioner intuition into testable hypotheses, quantitative models and optimisation problems
Apply mathematics, statistics, machine learning and optimisation where appropriate, using large datasets to develop and rigorously validate solutions
Partner with traders and developers to implement research in production, monitor its performance and assess whether it delivers the expected trading impact
Identify opportunities to turn manual trading judgements and heuristics into reproducible, measurable and scalable approaches
Requirements
PhD or another demonstrable track record of conducting independent research
Strong academic background in Mathematics, Statistics, Physics, Computer Science, Engineering, Operations Research or a related quantitative discipline
Nice to have: AI tools for analysis, programming, or research
Join the collaborative Data Engineering team to build the foundation for data-driven decisions across the entire business, focusing on building, scaling, and maintaining a world-class Data Platform.
Responsibilities
Design, deploy, and maintain robust ELT/ETL data pipelines from diverse sources (transactional databases, REST APIs, and file-based endpoints)
Collaborate on scalable data models to supply clean, structured data for BI tools and department-specific decision-making
Manage orchestration using Apache Airflow (GCP Cloud Composer) and leverage GCP native services (Cloud Run, GKE, Cloud Functions, Artifact Registry)
Apply software engineering best practices (version control, CI/CD, testing, code reviews) while actively reducing technical debt
Automate end-to-end data workflows to eliminate manual extracts
Develop and maintain advanced software tools to support calibration, validation, and rigorous testing of electromechanical and robotic systems across our product lines.
Compensation
The weekly pay range for this role is:
$1,850—$2,250 USD
Responsibilities
Develop and maintain advanced software tools to support calibration, validation, and rigorous testing of electromechanical and robotic systems across our product lines.
Manage requirements and set expectations with cross-functional teams—including hardware, mechanical, and manufacturing engineers—to deliver testing solutions successfully and on time.
Perform hardware modifications to printers and test setups to facilitate experimental processes.
Own the full lifecycle of the test tools ecosystem, including design, validation, documentation, deployment, and ongoing maintenance.
Use data science to analyze production lines and provide insights to the operations organization.
Join our AI-centric internship cohort and build the future of financial software! As an Engineering Intern, you'll collaborate with a mentor and team to develop impactful products, services, and infrastructure that accelerate the adoption of AI-first tools and workflows across Brex.
Compensation
The expected salary range for this role is $55.00 per hour. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Responsibilities
Collaborate with a mentor and team to develop impactful products, services, and infrastructure that accelerate the adoption of AI-first tools and workflows across Brex.
Leverage data and creativity to solve real-world business challenges and contribute to our long-term technical vision.
Requirements
Nice to have: AI tooling
Nice to have: functional programming languages
Nice to have: cloud computing systems & services
Nice to have: corporate financial systems or concepts
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