Develop and optimize backend systems using Python, ensuring application performance and reliability while managing data and high concurrency.

Lead the Quality Assurance team to ensure high-quality testing of trading system tools. Innovate QA processes, mentor engineers, and manage test automation.

The Data Analyst will manage and analyze large financial datasets, design data quality frameworks, perform data validation, and deliver insights through dashboards and reports while collaborating with various stakeholders.

The Manual QA Engineer will design and execute test plans, identify bugs, collaborate with teams, and document testing outcomes.

The role involves designing and implementing infrastructure services, building automated systems, ensuring security and reliability, and mentoring a team of infrastructure engineers.

The SDET is responsible for designing and implementing automated tests for software quality improvement, collaborating across teams, and maintaining automation frameworks.

The role involves developing user-centric web interfaces using React, improving application performance, and integrating backend APIs, requiring significant ownership of projects.

The Portfolio Data Analyst supports client onboarding and analyzes financial data, collaborating with various teams to enhance data solutions.

As a Customer Success Manager, you'll support clients, resolve issues, and gather feedback to enhance products and services. You'll collaborate with multiple teams and drive client success.

Analysts at Arcana collaborate across teams to analyze financial performance, conduct research, and communicate insights to clients. This role focuses on developing analytical tools for portfolio intelligence.

The Lead Product Manager will define product vision, manage the product lifecycle for a data platform, and lead collaboration with engineers and clients.

The Lead iOS Engineer will build innovative iOS applications, implement best practices, optimize performance, and foster team collaboration in developing a portfolio intelligence platform.

The Financial Analyst will work with cross-functional teams to analyze data, conduct financial analyses, and improve risk modeling. Responsibilities include data presentation and interpreting financial information for investment insights.

The Staff Software Engineer will architect and enhance backend systems, optimize application performance, and collaborate with teams to develop scalable solutions.

The Staff Data Engineer will develop real-time data ingestion systems, manage production data pipelines using PySpark, and collaborate with a team to create scalable data solutions.

Provide on-site and remote IT support, troubleshoot hardware/software, manage IT assets, and respond to security alerts, ensuring smooth operations.

Lead front-end development using React to build high-performance, user-centric web interfaces. Collaborate with PM and Design, optimize UI and infrastructure code, build backend APIs integrating with data infrastructure, improve system scalability and stability, and own major components end-to-end.

Lead development of investment-relevant metrics and risk factor models from large datasets. Apply statistics, data modeling, simulation, and programming to validate models, build customer dashboards, and collaborate with analysts, engineers, and product managers to integrate analytics into the research platform.

The Senior Data Engineer will develop data ingestion systems, build enterprise data solutions, manage data pipelines, and collaborate with a data team to deliver technical solutions.

The Data Associate will manage data accuracy, support internal reports, improve processes, and collaborate with teams on operational workflows.