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Garda Capital Partners (Garda) is a multi-billion dollar alternative investment firm with over 22 years of experience deploying relative value strategies across fixed income markets for institutional investors. We hire, grow, and mentor great talent and remain steadfast in our commitment to building a culture that helps them succeed. Garda is more than a workplace. We are built on trust, integrity, and a shared vision for how we work together, the enduring relationships we build, and the consistency of our results. Garda's primary offices are located in Wayzata, New York City, West Palm Beach, Geneva, Zug, Copenhagen, Singapore, and Scottsdale. Garda is seeking a Cyber Security Analyst with experience to support day-to-day security operations, including vulnerability management, IAM, incident response, access reviews, and security awareness initiatives. The role also involves partnering with stakeholders across the firm on security policies, vendor due diligence, and other security projects, with financial services experience preferred. Position Responsibilities Run vulnerability management and patching: track findings to closure, prioritize remediation, and report on progress Conduct periodic user and privileged access reviews and help maintain least-privilege access across systems Support identity and access management (IAM) operations, including provisioning, deprovisioning, and access policy enforcement Handle day-to-day security operations, monitoring, and routine investigations Manage security awareness training and phishing simulation programs and follow up on results Triage and respond to incident escalations from our managed detection and response provider, driving them to resolution and escalating where appropriate Take ownership of analyst-level security tasks and recurring operational work to support the broader team Build effective working relationships with stakeholders across Garda's offices Policies / procedures Vendor due diligence Work on security related initiatives as directed by the security architect Qualifications & Desired Skills 3-5 years in an infrastructure or security role Experience in financial services is a plus Demonstrated ability to manage and prioritize multiple tasks and deadlines Source control and pipeline security operations (GitSecOps) experience Solid understanding of core security concepts: network protocols, firewalls, common attack vectors, and risk Professional certifications such as CompTIA Security+, CISM, or CISSP are a plus Detail-oriented, with strong verbal and written communication skills Candidate Privacy Notice

Garda Capital Partners (Garda) is a multi-billion dollar alternative investment firm with over 22 years of experience deploying relative value strategies across fixed income markets for institutional investors. We hire, grow, and mentor great talent and remain steadfast in our commitment to building a culture that helps them succeed. Garda is more than a workplace. We are built on trust, integrity, and a shared vision for how we work together, the enduring relationships we build, and the consistency of our results. Garda's primary offices are located in Wayzata, New York City, West Palm Beach, Geneva, Zug, Copenhagen, Singapore, and Scottsdale. Garda is seeking a Software Engineer in its Research and Technology (R&T) group to join the Risk team, based out of our New York office. The R&T group is responsible for all of the firm's applications & infrastructure, including analytics, portfolio, and risk management. The selected candidate will join the team responsible for designing and building systems that support our risk managers, including risk analytics, exposure monitoring, and reporting infrastructure for fixed-income and interest-rate derivative portfolios. The ideal candidate will have demonstrated proficiency and practical experience in software development using C# and Python. Previous experience in risk management or capital markets is highly desirable. Position Responsibilities Help design and develop risk management systems and analytics tools used directly by risk managers to monitor exposure, P&L, and portfolio risk Help build and maintain services in C# and Python across the application stack, from data pipelines to front-end tooling Use gRPC microservices as part of our core service layer Leverage the Python scientific stack (NumPy, pandas, duckdb, etc.) to develop and productionize quantitative risk models and analytics Work with Parquet files for efficient data manipulation and analysis Familiarity with relational database schemas and queries (Oracle / Postgres) supporting risk data and reporting Containerize and deploy services using Docker and/or Kubernetes Provide support for in-house and 3rd party risk and analytics applications Diagnose and fix issues with trading desk and risk systems (in-house analytics, vendor, and proprietary systems) Qualifications & Desired Skills Bachelor's Degree in Computer Science, Engineering, Mathematics, or Finance 4+ years of object-oriented development using C# and Python 4+ years of relational database, SQL, and ORM experience (Oracle / Postgres preferred) Experience with the Python scientific stack (NumPy, pandas, SciPy, Polars, DuckDB, etc.) Familiarity with using Parquet files for data manipulation Experience with Docker and/or Kubernetes Familiarity with risk analytics and fixed income instruments, including bonds and interest rate derivatives a plus Must be comfortable with development across the application stack Ability to complete complex projects independently Detail-oriented with strong verbal and written communication skills Ability to work effectively in a high-energy, time-sensitive team environment Familiarity with designing and/or using gRPC services in a microservices architecture JavaScript / React experience is a plus Candidate Privacy Notice This role is also eligible for other forms of compensation and benefits, such as a discretionary bonus, healthcare plan, 401(k) matching program, etc. Within the range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education. Base Salary for this role is expected to be between: $150,000 — $175,000 USD

Garda Capital Partners (Garda) is a multi-billion dollar alternative investment firm with over 22 years of experience deploying relative value strategies across fixed income markets for institutional investors. We hire, grow, and mentor great talent and remain steadfast in our commitment to building a culture that helps them succeed. Garda is more than a workplace. We are built on trust, integrity, and a shared vision for how we work together, the enduring relationships we build, and the consistency of our results. Garda's primary offices are located in Wayzata, New York City, West Palm Beach, Geneva, Zug, Copenhagen, Singapore, and Scottsdale. Garda is seeking a Software Engineer Intern to join our Research and Technology (R&T) team based in our New York office for the summer of 2027 . This is an exciting position offering opportunities to gain exposure to enterprise software development practices at a global hedge fund. Position Responsibilities Aid in the development of new lines of business solutions using Python and SQL. Support senior staff in designing and implementing complete solutions for our front office/risk systems. Provide support for in-house and 3rd-party applications. Qualifications & Desired Skills Pursuing a Bachelor's or Master’s Degree in Computer Science, Engineering, Mathematics, or Quantitative Finance Experience with the Python ecosystem of common libraries and working knowledge of at least one statically typed language Good grasp of computer science fundamentals (e.g. data structures, algorithms, operating systems etc.) Familiarity with object-oriented programming Strong problem-solving skills and commitment to high standards for code Interest or prior experience in the financial trading industry (particularly in fixed income) a plus Ability to work effectively in a high-energy, time-sensitive team environment Detail-oriented with strong verbal and written communication skills Familiarity with AI-assisted development workflows, paired with the ability to write and debug code without them. Candidate Privacy Notice This role is also eligible for other forms of compensation and benefits, such as a discretionary bonus, healthcare plan, 401(k) matching program, etc. Within the range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education. Base Salary for this role is expected to be between: $50 — $50 USD

Garda Capital Partners (Garda) is a multi-billion dollar alternative investment firm with over 22 years of experience deploying relative value strategies across fixed income markets for institutional investors. We hire, grow, and mentor great talent and remain steadfast in our commitment to building a culture that helps them succeed. Garda is more than a workplace. We are built on trust, integrity, and a shared vision for how we work together, the enduring relationships we build, and the consistency of our results. Garda's primary offices are located in Wayzata, New York City, West Palm Beach, Geneva, Zug, Copenhagen, Singapore, and Scottsdale. Garda is seeking a Software Engineer Intern (AI Internal Tools) for a 6-month internship, who will report to the AI Lead. The role focuses on building and improving internal systems, tools, and engineering infrastructure that let teams across Garda use AI effectively, safely, and reliably. This is a hands-on engineering position spanning internal applications, integrations, shared AI platform components, evaluation tooling, observability, and developer workflows — contributing to both new features and existing production systems. It is not model training, quant research, or one-off prototyping; the focus is on maintainable, reusable systems for broad internal use. Ideal candidates are strong technical students who thrive on ambiguity, pick up new technologies quickly, and take ownership of code quality. While AI-assisted development tools are used, the intern is expected to apply solid engineering judgment, test rigorously, and deliver secure, maintainable work. Position Responsibilities Build and improve internal applications, backend services, APIs, and integrations that bring AI capabilities into firm workflows. Contribute to shared AI platform capabilities, such as gateway services, access and identity integrations, monitoring, observability, and support tooling. Deliver small, production-minded features and services, including design, implementation, testing, documentation, deployment support, and iterative improvement after release. Help evaluate AI models, tools, and internal AI applications; contribute to practical evaluation methods, benchmarks, monitoring, and feedback loops. Identify recurring needs and generalizable patterns in work across teams, then help turn them into reusable components, standards, or automation rather than one-off solutions. Work with engineers, infrastructure, security, compliance, and internal users to understand requirements, navigate dependencies, and incorporate feedback into robust solutions. Use AI-assisted development tools effectively while maintaining ownership of code quality, correctness, security, reliability, and maintainability. Support and improve existing systems by investigating issues, improving documentation, and helping make services easier to operate and support. Qualifications & Desired Skills Pursuing a Bachelor's in Computer Science, Engineering, Mathematics, or Quantitative Finance Demonstrated software-development experience through coursework, internships, personal projects, open-source work, or similar practical experience. Proficiency in at least one programming language and the ability and interest to learn the languages, frameworks, and tools required for the work. Strong software-engineering fundamentals, including data structures, algorithms, debugging, testing, version control, and clear code design. Interest in building backend services, APIs, internal applications, integrations, or developer/infrastructure tooling. Sound problem-solving skills and good judgment about trade-offs among speed, quality, reliability, and maintainability. Comfort working in a changing environment, clarifying ambiguous requirements, and iterating constructively with stakeholders. Clear written and verbal communication skills; able to collaborate with both technical and non-technical colleagues. Interest in practical AI systems and AI-enabled development. Prior experience with a particular AI platform, programming language, or cloud technology is welcome but not required. Interest in financial markets or investment management is a plus, but is not required. Candidate Privacy Policy

Garda Capital Partners (Garda) is a multi-billion dollar alternative investment firm with over 22 years of experience deploying relative value strategies across fixed income markets for institutional investors. We hire, grow, and mentor great talent and remain steadfast in our commitment to building a culture that helps them succeed. Garda is more than a workplace. We are built on trust, integrity, and a shared vision for how we work together, the enduring relationships we build, and the consistency of our results. Garda's primary offices are located in Wayzata, New York City, West Palm Beach, Geneva, Zug, Copenhagen, Singapore, and Scottsdale. Garda is seeking a Software Engineer Intern (AI Internal Tools) for a 6-month internship, who will report to the AI Lead. The role focuses on building and improving internal systems, tools, and engineering infrastructure that let teams across Garda use AI effectively, safely, and reliably. This is a hands-on engineering position spanning internal applications, integrations, shared AI platform components, evaluation tooling, observability, and developer workflows — contributing to both new features and existing production systems. It is not model training, quant research, or one-off prototyping; the focus is on maintainable, reusable systems for broad internal use. Ideal candidates are strong technical students who thrive on ambiguity, pick up new technologies quickly, and take ownership of code quality. While AI-assisted development tools are used, the intern is expected to apply solid engineering judgment, test rigorously, and deliver secure, maintainable work. Position Responsibilities Build and improve internal applications, backend services, APIs, and integrations that bring AI capabilities into firm workflows. Contribute to shared AI platform capabilities, such as gateway services, access and identity integrations, monitoring, observability, and support tooling. Deliver small, production-minded features and services, including design, implementation, testing, documentation, deployment support, and iterative improvement after release. Help evaluate AI models, tools, and internal AI applications; contribute to practical evaluation methods, benchmarks, monitoring, and feedback loops. Identify recurring needs and generalizable patterns in work across teams, then help turn them into reusable components, standards, or automation rather than one-off solutions. Work with engineers, infrastructure, security, compliance, and internal users to understand requirements, navigate dependencies, and incorporate feedback into robust solutions. Use AI-assisted development tools effectively while maintaining ownership of code quality, correctness, security, reliability, and maintainability. Support and improve existing systems by investigating issues, improving documentation, and helping make services easier to operate and support. Qualifications & Desired Skills Pursuing a Bachelor's in Computer Science, Engineering, Mathematics, or Quantitative Finance Demonstrated software-development experience through coursework, internships, personal projects, open-source work, or similar practical experience. Proficiency in at least one programming language and the ability and interest to learn the languages, frameworks, and tools required for the work. Strong software-engineering fundamentals, including data structures, algorithms, debugging, testing, version control, and clear code design. Interest in building backend services, APIs, internal applications, integrations, or developer/infrastructure tooling. Sound problem-solving skills and good judgment about trade-offs among speed, quality, reliability, and maintainability. Comfort working in a changing environment, clarifying ambiguous requirements, and iterating constructively with stakeholders. Clear written and verbal communication skills; able to collaborate with both technical and non-technical colleagues. Interest in practical AI systems and AI-enabled development. Prior experience with a particular AI platform, programming language, or cloud technology is welcome but not required. Interest in financial markets or investment management is a plus, but is not required. Candidate Privacy Policy