Garda is looking to hire a Software Engineer (AI Tooling) to be a part of our Research and Technology (R&T) group to design and build systems that integrate modern AI capabilities across the firm. The selected candidate will develop backend services, automation workflows, and integrations that help research, trading, and operations teams work more effectively with AI-powered tools.

This is a hands-on engineering role focused on building practical, production-ready systems—not research or model training. You'll work with LLM APIs, build internal applications, create automation workflows, and integrate AI capabilities into existing systems. The ideal candidate is excited about the potential of AI tools but wants to focus on engineering and delivery rather than ML research. Experience in financial services or capital markets is strongly preferred.

Position Responsibilities

• Build internal applications and services that integrate LLM APIs and other AI capabilities into firm workflows
• Develop backend infrastructure for AI-powered tools (API gateways, vector search, chat backends, monitoring)
• Create automation workflows and integrations between AI platforms and internal systems
• Implement data processing pipelines that prepare and route information to AI services
• Work with stakeholders across trading, research, and operations to understand requirements and gather feedback
• Build and maintain integrations with vendor AI platforms and third-party tools
• Participate in design, development, testing, and deployment of new features and systems
• Support and improve existing AI-powered applications and workflows
• Collaborate with infrastructure teams to ensure solutions are secure, scalable, and well-monitored

Qualifications & Desired Skills

• Bachelor's Degree in Computer Science, Engineering, Mathematics, Finance, or related field
• 2-5 years of software engineering experience
• Strong programming skills in Python (primary language for this role) or ability to learn quickly
• Experience building backend services, APIs, or internal applications
• Comfortable working with REST APIs, databases, and data processing workflows
• Interest in AI and modern development tools; no ML/deep learning experience required
• Understanding of fixed income, trading operations, or investment management workflows is a plus
• Capital markets experience strongly preferred
• Strong problem-solving skills and ability to learn new technologies quickly
• Clear communication skills and comfort working with both technical and non-technical stakeholders
• Ability to work effectively in a fast-paced environment and manage multiple priorities
• Self-motivated with interest in building practical tools that people actually use

Garda is looking to hire a Valuations Analyst to join the team in New York. The candidate will be helping manage valuations of various investments ranging from the exchange traded products to derivatives traded in OTC markets, including equities, listed futures/options, bonds, fixed income OTC derivatives (interest rate swaps/swaptions, FX spot/forwards/options), credit products, commodity products, and MBS.

Position Responsibilities:

• Liaise with front office, risk team, and other supporting teams about pricing, valuation, P&L, and valuation models. Be point person for all live and closing P/L issues for PMs and Risk.
• Work closely with Risk and Technology teams to implement valuation setup for new products, automate the valuation process and manage longer term projects to enhance the overall valuation process and systems.
• Manage process to control market data inputs to the valuation models (yield curve, inflation curve, volatility surfaces, etc.) and ensure the valuation process is in compliance with Garda’s valuation policy.
• Perform model validation on new valuation models required for model upgrades or the new products. Establish valuation models and process together with Risk for new products.
• Perform price testing analysis with counterparty valuation and other 3rd party vendors’ prices such as Bloomberg or Markit. Maintain the valuation support as evidence that investment valuation is accurate.

Qualifications & Desired Skills:

• Bachelor's Degree or higher in Mathematics, Finance, Financial Engineering, or a similar quantitative/technical discipline
• 2+ years of experience relevant for a Valuations role
• Knowledge and interest in financial markets
• Critical thinking, strong attention to detail and independent problem-solving skills
• Embrace a shared drive to learn, improve and achieve lasting impact
• Self-starter with the ability to work both independently and collaboratively, managing priorities effectively in a fast-paced environment
• Detail-oriented, strong communication and interpersonal skills, and the ability to collaborate effectively across diverse teams and stakeholders

Garda is looking to hire an AI Program Coordinator in its Research & Technology (R&T) group, reporting directly to the AI Lead. This role is the operational backbone of the firm’s AI initiative, responsible for ensuring that projects, stakeholders, vendors, and governance processes move forward with clarity and discipline.

The ideal candidate will be proactive, detail-oriented, and comfortable working across technical and business teams in a fast-paced environment. This position offers an opportunity to contribute to a high-impact, evolving program at the firm.

Primary responsibilities for the role include:

• Project Coordination: Own and maintain project trackers and status updates across AI workstreams. Prepare meeting agendas, capture action items, and follow up on deliverables. Coordinate between R&T, Infrastructure, Data, Compliance, and business teams.
• Communication Support: Plan and draft internal updates and monthly AI newsletter. Prepare materials for senior committee meetings. Serve as a central point of truth for AI program information by maintaining AI program documentation and internal knowledge base.
• Vendor Coordination: Act as the primary operational interface for AI vendors, including scheduling, onboarding coordination, and ongoing communication. Track vendor contracts, costs, and renewal dates. Coordinate cross-functional vendor reviews. Support trials and evaluations by identifying users, gathering feedback, and synthesizing learnings.
• AI Champions Program Support: Schedule Champions meetings. Track program membership and engagement. Plan and execute Champions events and working sessions across offices.
• User Support: Provide first-line support for AI-related questions. Triage requests and route to appropriate resources or Champions. Track recurring issues and user feedback to inform training, documentation, and tooling improvements.
• License Administration: Maintain AI tool user access. Monitor inactive users and coordinate with Infrastructure on offboarding. Process new user requests according to established policies.
• Event Coordination: Support logistics for AI events across offices, including multi-office roadshows and gatherings.
• Administrative Support: Maintain AI project request queue. Organize information to support decision-making by AI Lead. Keep documentation and processes up to date as the program scales.

What success looks like:

• Stakeholders have clear visibility into what is happening across the AI program and what is coming next.
• Requests, vendors, and initiatives move through governance and delivery pipelines with minimal friction.
• Documentation is current, usable, and trusted.
• The AI Lead and working groups spend time making decisions rather than chasing information.

Qualifications & Desired Skills

• Experience: Minimum 3+ years’ experience in project coordination, program operations, business analysis, or similar roles. Experience working in technology, financial services, or data-focused environments is preferred.
• Skills:
• Strong organizational and project tracking abilities; comfortable managing multiple concurrent workstreams.
• Excellent written and verbal communication skills.
• Able to collaborate effectively with both technical and non-technical stakeholders.
• Proactive, detail-oriented, and able to manage priorities in a fast-paced environment.
• Familiarity with collaboration tools (Notion, Confluence, Jira, or similar) is a plus.
• Education: Bachelor’s degree in STEM, Business, Economics, or a related field preferred.
• Coursework or familiarity with AI/ML concepts is a plus but not required.

Why This Role Matters

This role sits at the center of a high-visibility, firm-wide initiative. It offers exposure to senior decision-makers, cutting-edge technology efforts, and the opportunity to shape how AI is operationalized across an investment firm.

Garda is seeking a Sr. Compensation Analyst to support and deliver strategic, technical and execution-based compensation initiatives supporting our end-to-end investment and business functions. We are hiring in either our New York or Wayzata office. This job post is for the New York office role. 

As a member of our HR Operations team within the Human Capital Management (HCM) function, you will work closely with internal HCM, Finance/Controller & IT teams, supporting our annual compensation process, utilizing internal business systems and HR technologies. This role plays an essential part in ensuring our compensation programs enable us to attract, retain, and reward top talent.

This position focuses on designing and maintaining job architecture frameworks, including job leveling, titling, and career laddering; leading compensation planning cycles involving salary benchmarking, merit increases, and variable compensation programs; and building and maintaining complex Excel models to drive technical analysis, compensation scenario modeling, and reporting for Garda senior leaders. This role will serve as a primary compensation point of contact for our global business.

Primary responsibilities for the role include:

• Own and manage the end-to-end annual compensation cycle, including compensation benchmarking, salary planning, and the variable compensation process.
• Build, maintain, and improve complex Excel-based compensation models across multiple distinct incentive schemes, including base pay, short-term incentives, long-term incentives, and other variable pay structures, each with their own logic and inputs.
• Develop and maintain analytics using excel and other compensation tools. Perform rigorous analyses on complex data sets (including internal and external benchmarks) to tell visually compelling stories and provide strategic insights, hypotheses, and conclusions based upon findings to leaders at all levels.
• Create compensation policies, procedures, and training materials, and communicate to employees and Senior Leaders.
• Partner closely with the Controller team with other functions to respond to requests for information and analysis using HR and Finance data systems.
• Monitor regulatory changes (FLSA, EEO, pay transparency) to maintain compliance.
• Manage compensation survey participation and submissions; conduct follow-up research and analysis of survey results to assess market positioning, identify compensation gaps, and model proposed structure changes; present findings and recommendations to HCM and business leadership to support annual compensation planning and ongoing pay equity initiatives.
• Maintain and govern job architecture, including job evaluations, market pricing, and compensation structure management for the global population.
• Advise and partner with Talent Acquisition, HCM, and managers on compensation decisions.
• Identify overall areas for process improvement and establish effective and efficient processes.
• Support additional HCM initiatives, operational activities, and cross-functional projects as needed to meet evolving business and organizational priorities.

Qualifications & Desired Skills 

• Bachelor’s degree in information systems, human resources, business, or a related field, or equivalent experience
• Minimum of 5 years of Compensation experience.
• Proven analytical, modeling, and reporting capabilities.
• Understanding of HR processes, policies, and regulations related to Compensation and Variable Pay
• Strong HRIS experience, including data extraction, reconciliation and reporting.
• High attention to detail and understanding of downstream impacts of data errors.
• Expert level Excel proficiency with the understanding of developing large models with numerous inputs and outputs.
• Experience working across HR, Finance and IT systems
• Experience working on compensation and equity-related projects
• Embrace a shared drive to learn, improve and achieve lasting impact.
• Self-starter with the ability to work both independently and collaboratively, managing priorities effectively in a fast-paced environment.
• Strong communication and interpersonal skills with the ability to collaborate effectively across diverse teams and stakeholders

Garda is looking to hire a Senior Software Engineer (AI Tooling) to be a part of our Research and Technology (R&T) group to design and build systems that integrate modern AI capabilities across the firm. The selected candidate will lead technical projects, architect backend infrastructure, and create applications that enable research, trading, and operations teams to leverage AI tools effectively. 

This is a senior engineering role focused on building production systems and internal platforms—not ML research or model development. You'll design API gateways, build vector search infrastructure, create AI-powered internal applications, and work with business stakeholders to translate requirements into robust technical solutions. The ideal candidate is excited about the practical applications of AI but wants to focus on software engineering, system design, and delivery. Experience in financial services or capital markets is strongly preferred.

Position Responsibilities

• Design and lead implementation of backend infrastructure for AI capabilities (LLM gateways, vector databases, chat services, monitoring systems)
• Build internal applications that integrate AI into research, trading, and operations workflows
• Architect data processing pipelines and API integrations for AI-powered features
• Own complete projects from design through production deployment
• Evaluate new AI platforms and tools; build proofs-of-concept and convert successful ones to production
• Provide technical consultation to business stakeholders and translate their needs into practical solutions
• Make architectural decisions for systems integrating AI capabilities with existing infrastructure
• Build automation workflows that reduce manual processes using AI tools
• Develop integrations between internal systems, vendor platforms, and AI services
• Establish patterns and best practices for AI application development across the firm
• Mentor other engineers and contribute to technical standards
• Collaborate with infrastructure and security teams on deployment, scaling, and governance

Qualifications & Desired Skills

• Bachelor's Degree in Computer Science, Engineering, Mathematics, Finance, or related field
• 5+ years of software engineering experience
• Strong programming skills in Python (primary language) with experience in other languages a plus 
• Proven experience designing and building backend services, APIs, and internal platforms
• Experience with cloud platforms, containerization, or distributed systems
• Strong interest in AI applications and modern development tools; no ML/deep learning background required
• Ability to evaluate new technologies, build prototypes, and make pragmatic technical decisions
• Experience with fixed income, trading systems, or investment management operations strongly preferred
• Capital markets knowledge is a significant advantage
• Excellent problem-solving skills and ability to learn new technologies rapidly
• Strong communication skills with ability to work effectively across technical and business teams
• Self-directed with ability to drive projects independently from concept to production
• Comfortable working in a fast-paced environment with evolving requirements
• Excited about building practical tools that deliver real business value

Position: Associate Portfolio Manager

Garda Capital Partners LP seeks a full-time Associate Portfolio Manager based in New York, NY.

Job Description: Responsible for managing a relative value portfolio using mortgage derivatives while communicating broad trading ideas with senior management on a weekly basis. Support the investment management team in New York by focusing on discretionary and systematic relative value opportunities in mortgage derivative markets; utilizing qualitative and quantitative analysis along with proprietary trading systems to manage their own portfolio, monitor individual positions, and report the overall portfolio risk to Portfolio Managers. Additional job duties include: (1) performing financial modeling, valuation analyses, and due diligence to support investment decisions while reviewing and implementing investment strategies and structures, and contributing to the reporting and tracking of existing themes; (2) working collaboratively with management teams, other Garda investment professionals, and counterparties; (3) completing investment process from origination and research, of both systematic and discretionary ideas, to trade execution and portfolio management; (4) utilizing programming language, Python; (5) analyzing larger datasets for mortgage prepayments, automating processes, and developing analytical tools, using machine learning and statistical algorithms; (6) utilizing sector specific products including YieldBook and RiskSpan to analyze prepayments in mortgage products and develop trade ideas in mortgages; (7) implementing trading strategies, monitoring portfolio risks, and facilitating PNL generation; (8) CMO structuring and hedging with TBA, USTs, futures, and swaptions; and (9) cultivating established relationships with at least five of the major Wall Street mortgage trading desks.

Minimum Requirements: This position requires a Master’s degree or equivalent in Financial Engineering, Finance, Mathematics, or a related field and two years related experience. Must also have 18 months of experience with each of the following:

• Completing investment process from origination and research, of both systematic and discretionary ideas, to trade execution and portfolio management;
• Utilizing programming language, Python;
• Analyzing large datasets for mortgage prepayments, automating processes, and developing analytical tools using machine learning and statistical algorithms;
• Utilizing sector-specific products including YieldBook and RiskSpan to analyze prepayments in mortgage products and develop trade ideas in mortgages;
• Implementing trading strategies, monitoring portfolio risks, and facilitating PNL generation;
• CMO structuring and hedging with TBAs, USTs, futures, and swaptions; and
• Cultivating established relationships with at least five of the major Wall Street mortgage trading desks.

Employer will accept experience gained concurrently. Will accept experience gained before, during, or after Master’s program. Base Salary: $118,248 to $190,000/year.