Jobs at Arcana

Own new business development and regional growth across Hong Kong and APAC for a portfolio intelligence SaaS platform. Lead full-cycle enterprise sales, from prospecting and executive engagement through procurement and close, targeting hedge funds and asset managers. Build relationships with senior investment and operations leaders, represent the company at industry events, and partner with Product and Leadership to convert market feedback into strategic growth. This senior individual contributor role carries full quota and P&L accountability without initial direct reports.

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.

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.

Lead the security posture across cloud and on-prem environments with emphasis on GCP. Design enterprise security architecture, enforce compliance (ISO 27001, SOC 2, GDPR), build policy-as-code and automated guardrails, harden infrastructure and Kubernetes, implement drift detection and self-healing, and lead monitoring, detection, and incident response including runbooks and root-cause investigations.

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

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

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.

Identify, research, and engage hedge funds, asset managers, and allocators; build high-quality prospect lists; perform personalized outreach to qualify interest; book discovery meetings and collaborate with Sales Directors on account strategies.

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.

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

The HR Operations Associate will support HR functions, manage onboarding, maintain employee records, and enhance employee experience while contributing to HR projects.

As a Portfolio Analytics Specialist, you will oversee onboarding projects for hedge funds, address analytic challenges, and collaborate on improving software functionalities.

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.