Top Tech Jobs & Startup Jobs

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 Client Solutions Associate at Arcana supports institutional investors with operational issues, onboarding, and analytical workflows while working closely with various teams to improve the platform and client experience.

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

Lead and scale a 20–30 person analyst team delivering portfolio analytics, quality controls, client implementations, and recurring deliverables. Define standards, KPIs, and operating rhythms; partner with Product, Engineering, and Data Science to translate investment workflows into scalable analytics and product capabilities; escalate complex client or analytical issues and drive team development.

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

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.

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.

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.

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.