Job description

Company Overview LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm that works closely with many of the industry’s most prominent institutional investors (LPs) and fund managers (GPs) to get better, more actionable decision-making intelligence into the hands of today’s demanding investors. Our firm truly sits at the intersection of private asset analytics and consulting, which means we take both a highly quantitative and qualitative approach to tackling big challenges and developing cutting-edge solutions for our clients. If you are a high achiever with a passion for learning about the private asset analytics and consulting landscape while also being part of a strong, motivated and innovative team of forward-thinking professionals, LP Analyst might be the right place for you. LP Analyst encourages and promotes diversity within its team. Women, minorities, people with disabilities, veterans and members of all underrepresented groups are strongly encouraged to apply. Job Summary LP Analyst is seeking a talented and motivated Software Engineer to join our growing technology team. This role spans application development, cloud integration, and AI product development. You will build features across our internal and client-facing applications and own the integrations that connect them to cloud services and data sources. You will take your work from design through to production, working alongside our engineering team and business stakeholders. You will also help build our AI products, including LLM-powered tools, agents, and workflows, and use AI-assisted development tools as part of how you work. This position is ideal for a strong problem solver who is passionate about writing clean, scalable code, eager to keep growing their technical skills, and excited to work in a fast-paced, collaborative environment. Key Responsibilities • Design and build features across our client-facing analytics platform and internal applications using C#/.NET, Entity Framework, and SQL Server, owning delivery from design through production and working with the technical lead on architecture decisions • Write clean, well-documented, and maintainable code in accordance with team standards and best practices • Use AI-assisted development tools effectively in your day-to-day work, while owning the quality, security, and correctness of the code you ship • Work with business stakeholders to clarify requirements, think through edge cases and alternatives, and turn them into technical designs and working solutions • Plan your work before you build: break features down into tasks, estimate effort, identify risks and dependencies early, and keep the team informed on progress in Azure DevOps • Participate in code reviews and guide junior developers on patterns and team standards, while giving and receiving constructive feedback • Contribute to and maintain CI/CD pipelines in Azure DevOps, supporting releases and validating changes across environments after deployment • Own the integrations connecting our applications to cloud services and data sources on Microsoft Azure • Troubleshoot complex issues across application code, cloud integrations, and data movement, working methodically to find root causes and escalating architectural concerns to the technical lead • Build AI products and AI-powered features, including LLM-based tools, agents, and workflows, taking them from prototype through production • Stay current with emerging technologies and best practices, bringing practical recommendations to the team • Participate across the full software development life cycle (SDLC), including design discussions, implementation, testing, deployment, and ongoing maintenance and optimization Qualifications and Skills • 3–5 years of professional, hands-on experience in software engineering • Strong analytical and problem-solving skills, with a track record of working through complex or ambiguous problems to practical solutions • Experience designing scalable, maintainable systems, including planning the technical approach, weighing trade-offs, and thinking ahead to how a solution will need to grow • Strong hands-on experience with C#/.NET and SQL Server • Experience building and deploying applications and integrations on Microsoft Azure • Solid understanding of relational databases and SQL; exposure to non-relational databases is a plus • Comfort with Git-based workflows, version control, and collaborative development practices • Solid understanding of CI/CD practices and automated testing; experience with Azure DevOps is a plus • Knowledge of common software design patterns and principles • Familiarity with Entity Framework and other common .NET data access frameworks • Experience with Python or other languages for AI integration or data automation is a plus • Hands-on experience building AI products or integrating LLM capabilities into applications is preferred • Regular use of AI coding assistants, with the judgment to review, test, and validate AI-generated code • Good communication skills, with the ability to collaborate effectively with both technical and non-technical teammates • Experience reviewing code or guiding junior developers is a plus • Bachelor's degree in Computer Science, Software Engineering, or related field required • Experience in financial services, asset management, or analytics platforms is a plus • Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position Why LP Analyst? • Comprehensive onboarding and training programs, including a structured Private Asset Training Program and regular business/industry teach-ins • Early opportunities for advancement for top-performing analysts • Opportunity to build valuable professional skills early in your career, including communication, organization, and leadership, by working on a dynamic and growing team with cross-functional exposure • Exposure to a wide range of strategies (private equity, venture capital, real estate, infrastructure, credit), with the opportunity to specialize in areas of interest • High-impact role providing transparency to the world’s leading institutional investors • Collaborative, high-performing team culture with smart, supportive colleagues • Company-sponsored 401(k) plan, healthcare, and dental insurance • Competitive compensation and fully paid parental leave • Generous paid time off that increases with tenure, plus an annual volunteer day • Casual dress code, frequent team events, and a downtown Dallas office with paid parking, free snacks, and other perks

Requirements

Must-haves

Company Overview
LP Analyst encourages and promotes diversity within its team. Women, minorities, people with disabilities, veterans and members of all underrepresented groups are strongly encouraged to apply.
This position is ideal for a strong problem solver who is passionate about writing clean, scalable code, eager to keep growing their technical skills, and excited to work in a fast-paced, collaborative environment.
Write clean, well-documented, and maintainable code in accordance with team standards and best practices
Use AI-assisted development tools effectively in your day-to-day work, while owning the quality, security, and correctness of the code you ship
Work with business stakeholders to clarify requirements, think through edge cases and alternatives, and turn them into technical designs and working solutions
Plan your work before you build: break features down into tasks, estimate effort, identify risks and dependencies early, and keep the team informed on progress in Azure DevOps
Participate in code reviews and guide junior developers on patterns and team standards, while giving and receiving constructive feedback
Contribute to and maintain CI/CD pipelines in Azure DevOps, supporting releases and validating changes across environments after deployment
Own the integrations connecting our applications to cloud services and data sources on Microsoft Azure
Troubleshoot complex issues across application code, cloud integrations, and data movement, working methodically to find root causes and escalating architectural concerns to the technical lead
Build AI products and AI-powered features, including LLM-based tools, agents, and workflows, taking them from prototype through production
Stay current with emerging technologies and best practices, bringing practical recommendations to the team
Participate across the full software development life cycle (SDLC), including design discussions, implementation, testing, deployment, and ongoing maintenance and optimization
Qualifications and Skills
3–5 years of professional, hands-on experience in software engineering
Strong analytical and problem-solving skills, with a track record of working through complex or ambiguous problems to practical solutions
Experience designing scalable, maintainable systems, including planning the technical approach, weighing trade-offs, and thinking ahead to how a solution will need to grow

Nice-to-haves

Solid understanding of relational databases and SQL; exposure to non-relational databases is a plus
Solid understanding of CI/CD practices and automated testing; experience with Azure DevOps is a plus
Experience with Python or other languages for AI integration or data automation is a plus
Hands-on experience building AI products or integrating LLM capabilities into applications is preferred
Experience reviewing code or guiding junior developers is a plus
Experience in financial services, asset management, or analytics platforms is a plus

Application prep

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Keywords to mirror

aillmsqlazureci/cdpython

Platform: jazzhr
Effort: medium

Benefits

Benefits detected in the listing.

Dental

401(K)

Paid Time Off

Parental Leave