Join our dynamic team at the forefront of cutting-edge technology as we seek a SDE2 (Backend). Embark on a journey where your deep-rooted expertise in computer science fundamentals, alongside an intricate understanding of data structures, algorithms, and system design, becomes the cornerstone of innovative solutions. This pivotal role not only demands your proficiency in developing and elevating compute and I/O-intensive applications but also ensures their peak performance and unwavering reliability.
Responsibilities:
Architect, refine, and escalate the capabilities of complex backend systems using Python, with a laser focus on efficiency, durability, and scale.Elevate application performance, optimizing for speed, scalability, and resource allocation.Forge robust methodologies to manage high concurrency and vast data volumes, setting new industry benchmarks.Collaborate intimately with engineering and product peers to crystallize requirements into resilient, scalable architectures.Demonstrate proficiency with advanced storage solutions and databases like Redis, PostgreSQL, and ClickHouse, enhancing system integrity.Champion coding excellence, testing rigor, and deployment precision, driving best practices across the development lifecycle.Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Minimum of 2 years of experience in backend development with Python in a production environment.Proven experience in scaling compute and I/O-intensive applications.Strong foundation in computer science, with a deep understanding of data structures, algorithms, and system design principles.Experience in handling concurrent requests at scale and optimizing large-scale systems for performance and reliability.Familiarity with database technologies such as Redis, PostgreSQL, and ClickHouse.Experience in the financial sector, particularly in developing fintech applications or systems, is a plus.Solid understanding of software development life cycle, continuous integration, and continuous delivery (CI/CD) practices.Excellent problem-solving abilities and strong communication skills.
Read LessForward-Deployed Analyst - Portfolio Intelligence
Arcana builds institutional-grade analytics for leading hedge funds and asset managers. We're hiring exceptional analysts to partner with portfolio managers, risk managers, analysts, and CIOs, and collaborate with our product, engineering, and data science teams.
What You'll Do
Work directly with portfolio managers, risk managers, analysts, and CIO's from the world's top hedge funds and asset managersAnalyze portfolios to uncover alpha, beta, and idiosyncratic drivers.Design and validate analytics that solve real institutional workflows.Turn complex financial data into clear, actionable insights that shape product and investment decisions.What We Expect
Bachelor's or Master's from a top-tier institution (IIT, IIM) with a minimum GPA of 8.7/10 (or equivalent).2-4 years in front-office finance (IB, hedge fund, asset management)Top 5% performer - academically in your graduating class and/or professionally among peers.Strong math and stats backgroundDeep investment fluency; elite analytical, modeling, and communication abilities.Precision, ownership, and comfort operating with senior stakeholders.CFA, FRM, MBA, or coding skills (Python/R) are strong pluses. Read LessWe are seeking a detail-oriented Data Associate to join our growing team. As a Data Associate, you will work closely with our product managers, financial analysts, and engineers to ensure high-quality data integration, analysis, and maintenance. The ideal candidate will have a passion for working with large datasets, a strong analytical mindset, and a desire to make an impact in the financial technology space.
Responsibilities:
Work with large datasets to ensure data accuracy, consistency, and integrity across databases.Partner with Product and Engineering teams to identify and implement process improvements and automation tools to enhance data quality and operational efficiency.Support internal teams by creating and maintaining internal reports and dashboards.Diagnose and highlight data pipeline issues, escalating complex problems as needed.Respond promptly to data-related inquiries and requests from clients, internal teams (Sales, Services), and external data providers/partners.Collaborate with regional teams on shared operational workflows and cross-functional projects.Maintain and update team resources and procedural documentation, and ensure accurate recording of metrics for internal reporting and analytics.Conduct daily verification checks to ensure the accuracy and timely availability of client portfolio data, adhering to defined SLAs.Requirements:
Bachelor's degree in a relevant field (Mathematics, Statistics, Data Science, Finance, Economics, or related disciplines).GPA of 8.0+ is requiredStrong understanding of data management and analytics.Proficiency in Excel and/or other data analysis tools.Excellent communication and interpersonal skills for engaging with internal and external data partners.Consistent track record of multitasking and prioritizing effectively in a fast-paced environment, and remaining calm under pressure.Open to working flexible hours (early morning, day shift, evening shift) Read LessWe're seeking a passionate Manual QA Engineer to drive the quality and performance of our software products. You'll take charge of test plans, hunt down bugs, and collaborate with development and product teams to ensure high-quality releases. Your work will be key in maintaining the high standards of our platform and enabling product development at Arcana.
We are looking for a meticulous SDET who will be responsible for the design and implementation of automated tests and test environments for Arcana. The engineer must have a passion for diving into data and technology, be a problem solver, and have a desire to improve software quality within a team environment. This role is critical in ensuring technology functions efficiently and effectively, minimizes errors, and helps meet software quality goals.
Responsibilities:
Collaborate with various teams at Arcana to understand automation needs.Contribute to and maintain test automation framework development.Lead programmatic best practices by example; be a hands-on programmer.Estimate efforts, identify risks, devise mitigation plans, and meet project automation schedules.Monitor automation metrics for continuous quality and process improvements.Requirements:
3 to 4 years of strong experience developing test automation for frontend automation using Playwright, Selenium, or other browser automation tools.Experience automating GraphQL APIs, REST APIs, etc.Expert-level knowledge in one or more programming languages: Python, Java, JavaScript, etc.Experience with industry best practices in software development processes: unit testing, code coverage, object-oriented design, code quality, automation, code reviews, etc.Proven ownership and delivery of automation for a sizable product or product component; strong sense of independence and self-direction.Experience working with large codebases, writing new code, and maintaining existing code.Ability to work with cross-functional teams, prioritize automation requirements, and deliver in a timely fashion.Experience working with CI/CD tools.Proficient in Git, Bitbucket, or other version control tools.Working knowledge of SQL, GCP/AWS, and database systems.Preferred:
Experience automating financial or analytics software. Read LessAs our Lead Security Engineer, you'll own and elevate Arcana's overall security posture - cloud, on-prem, and everything in between. You'll design and enforce policies, automate controls, and harden infrastructure end-to-end. While your primary focus will be on our GCP resources, you'll also partner with teams across networking, applications, and compliance to ensure we're secure by design and resistant to drift.
Responsibilities:
Enterprise Security Architecture - Governance and Compliance, including driving adherence to ISO 27001, SOC 2, GDPR, and enforcing CIS benchmarks on all infrastructure.Policy, Automation, and Guardrails - own the end-to-end security lifecycle by defining policy-as-code, embedding continuous compliance checks into CI/CD, and building automated, drift-resistant guardrails across cloud, containers, and VMs.Infrastructure Hardening and Drift Detection - implement automated drift alerts and self-healing playbooks for VPCs, firewall rules, Kubernetes clusters, and endpoints.Monitoring, Logging, and Incident Response - configure Cloud Audit Logs, SIEM exports, and custom alerts for critical security events; lead root-cause investigations, build detection logic, and develop runbooks for cloud-wide incidents.Requirements:
5+ years driving security and compliance in dynamic, regulated environments- securing cloud-native platforms and hybrid infrastructures, with deep familiarity in fintech and portfolio-management standards, and best practices for supporting distributed, remote teams.Deep expertise with GCP security (IAM, KMS, VPC Service Controls, Cloud Logging/Audit, WAF, SecOps) and Kubernetes application hardening.Strong Infrastructure-as-Code skills (Terraform or equivalent) and GitOps experience (ArgoCD, Flux).Proficiency in Python scripting and policy-as-code frameworks (OPA, Gatekeeper).Excellent communicator - able to translate technical findings into clear policies and remediation plans.Helpful Experience:
Familiarity with multi-cloud security controls.Security certifications (GCP Professional Security Engineer, CISSP, CKA/CKS).Experience with service mesh (Istio/Anthos) or zero-trust architectures. Read LessWe are seeking dynamic Portfolio Data Analysts to join our team and collaborate closely with our founders, financial analysts, product managers, and engineers. In this role, you'll play a pivotal part in supporting our client onboarding and success team. You'll need a strong ability to analyze financial data, translate insights into actionable strategies, and effectively guide clients through our platform's features to drive their success.
Responsibilities:
Analyze and onboard portfolio data from various sources into Arcana's data integration ecosystem.Collaborate with engineering, product management, and data operations teams to deliver high-quality, timely, and reliable data solutions through Arcana's platform.Work with a range of third-party data providers to integrate their data into Arcana's system.Develop and support data aggregation solutions based on client and third-party content, tailored to user workflow needs.Collaborate with user experience, design, and project management teams to develop data-oriented workflow solutions and product enhancements.Analyze and implement solutions to improve data operations and pipeline efficiency.Understand Arcana's products and clients, working closely with internal stakeholders to identify new opportunities to serve clients and grow the business.Contribute to the evolution of Arcana's financial data solutions, ensuring the platform remains a leading integrator of market-traded and alternative asset data.Requirements:
GPA of 8.0+Data analysis experience with exposure to finance and investment management.Strong communication and interpersonal skills for collaborating with vendors, clients, and internal teams.Ability to communicate complex ideas, problems, and solutions clearly both verbally and in writing for development, sales, clients, and third-party data providers.Ability to work with engineering teams to define functional and technical solutions to business problems, including a solid understanding of data development, data modeling, and writing/reviewing technical documentation.A passion for the finance and technology space, with a focus on solving complex problems in the investment management industry.Experience working with financial data and concepts relevant to Arcana's clients and products is highly preferred. Read LessArcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We're rethinking the tools institutional investors rely on-and we're hiring analysts who want to drive that transformation.
This isn't a typical modeling-and-memos analyst role. Our analysts work directly with product, engineering, and data science to shape institutional-grade financial software. If you're an analyst looking for more impact, more ownership, and the chance to help shape real tools for investors-we'd love to talk.
Responsibilities
Collaborate with product, engineering, and data science teams to build robust portfolio intelligence tools and analytics componentsAnalyze portfolio- and security-level performance, risk, and attributionDecompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomesConduct market, macroeconomic, and security-level research to support client workflows and product insightsValidate, interpret, and clearly communicate financial metrics to both internal stakeholders and clientsRequirements
1-3 years of experience in a front-office financial role (investment banking, hedge fund, asset management, or similar)Exceptional analytical and Excel skills, with strong proficiency in financial modeling and interpreting large datasetsDeep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatilityExcellent at communicating with institutional clients-including portfolio managers, analysts, CIOs, and risk managers-with the ability to distill complex analysis into clear, actionable insightsDemonstrated deep interest in financial markets, investment strategies, and institutional workflowsSelf-starter with the ability to work independently in a fast-paced, remote environmentFamiliarity with institutional investment processes, research platforms, and financial data toolsQualifications
Bachelor's or Master's degree from a top-ranked university in Finance, Economics, Engineering, or a related field.Minimum GPA of 8.0+ (required), IIT/IIM/ISB preferred.CFA, FRM, or MBA is a strong plusExperience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus Read Less