Careers
Join us in building the next generation of hedge fund technology.
New York
Director of Data Engineering
Engineering•New York, NY•Full-time
Lead a global team to build next-generation data infrastructure that combines AI automation with production-grade reliability for the world's top hedge funds.
Requirements
- Bachelor’s or Master’s degree in Computer Science or a comparable discipline
- 7+ years in software/data engineering, with 2+ years in technical leadership or architecture roles
- Proven track record delivering complex, large-scale data platforms in production
- Hands-on experience building resilient data pipelines on Databricks using Delta Lake and Spark
- Exceptional programming skills in Python, Spark, and SQL
- Passion for AI—genuine excitement about how AI can transform data engineering
- Strong leadership skills with ability to mentor engineers and drive team execution
- Experience with financial analytics, hedge funds, or asset management strongly preferred
Responsibilities
- Lead the design and implementation of AI systems that automate pipeline creation and optimize data workflows
- Define and refine architecture for scalable, high-performance ETL pipelines and data platforms
- Manage and mentor a global team of data engineers across Bangalore and New York
- Work directly with hedge fund clients and stakeholders to gather requirements and deliver tailored solutions
- Build event-driven ETL architectures for real-time and batch processing needs
- Contribute to product strategy and roadmap based on market insights and client feedback
- Partner with product, backend, and frontend teams to ensure data integrity and performance
Product Engineer
Engineering•New York, NY•Full-time
Build custom full-stack solutions for hedge funds—working directly with clients to turn their workflows into elegant, production-grade applications.
Requirements
- Bachelor’s or Master’s degree in Computer Science or a comparable discipline
- 3+ years of full-stack engineering experience building production applications
- Strong Python skills with experience building APIs using FastAPI, Flask, or Django
- Frontend development experience with modern frameworks (React, Vue, or similar)
- Experience with SQL, analytical libraries (Polars, Pandas), and OLAP databases
- Passion for product—strong desire to work with clients, understand user needs, and iterate based on feedback
- Excellent communication skills for translating technical concepts to non-technical stakeholders
- Exposure to financial data systems or portfolio analytics strongly preferred
Responsibilities
- Build full-stack applications tailored to each client's unique portfolio analytics, risk management, and research workflows
- Work directly with hedge fund teams to understand requirements, gather feedback, and iterate on product design
- Design and maintain high-performance backend APIs and intuitive frontend interfaces
- Implement financial analytics layers for performance and risk calculations using Python, Pandas, and Polars
- Leverage Hedgineer's core infrastructure—caching, OLAP databases, data pipelines—to accelerate delivery of custom solutions
- Drive product decisions by understanding client needs and balancing customization with maintainability
Data Engineer
Engineering•New York, NY•Full-time
Build AI-powered data infrastructure that automates pipeline creation and transforms how hedge funds access and analyze their data.
Requirements
- Bachelor’s or Master’s degree in Computer Science or a comparable discipline
- 3+ years of software engineering experience with focus on data engineering
- Exceptional programming skills in Python and SQL; expertise with Pandas or Polars
- Experience building production ETL pipelines using orchestration tools (Airflow, Dagster, Prefect)
- Hands-on experience with DBT, DuckDB, and event-based ETL architectures
- Passion for AI—genuine curiosity about how AI can transform data engineering, with experience using AI tools in development
- Experience building resilient data pipelines on Databricks strongly preferred
- Exposure to financial domain analytics or hedge funds highly valued
Responsibilities
- Design and implement AI systems that automate pipeline creation, data transformation logic, and workflow orchestration
- Build scalable, high-performance ETL pipelines that handle critical financial market data
- Design event-driven ETL systems to support both real-time and batch data processing needs
- Experiment with and deploy AI agents, code generation tools, and LLM-powered solutions
- Run analytics on large datasets to uncover insights, validate models, and propose new platform features
Product Manager
Engineering•New York, NY•Full-time
Shape products at the intersection of AI and finance—working directly with hedge fund clients to build tools that transform institutional investing.
Requirements
- Bachelor’s or Master’s degree in Computer Science or a comparable discipline
- 8+ years of product management experience on consumer or enterprise software products with direct user exposure
- Proven track record building elegant solutions to complex problems, with shipped products users love
- Passion for AI—demonstrated experience using AI tools to streamline workflows and improve productivity
- Strong communication skills and ability to work with cross-functional, distributed teams
- User-centric mindset with passion for understanding customer needs
- 2+ years of software engineering experience strongly preferred
- Exposure to financial markets, hedge funds, or portfolio analytics highly valued
Responsibilities
- Experiment with and implement AI capabilities that enhance product functionality and automate workflows
- Own end-to-end product development, from gathering requirements to defining specifications and guiding implementation
- Work directly with hedge fund clients to understand their workflows, pain points, and requirements
- Transform complex financial and technical concepts into clear, actionable product specifications
- Collaborate with designers and engineers to build intuitive interfaces for sophisticated analytics
- Define product metrics, gather user feedback, and iterate based on real-world usage
- Balance technical feasibility, business value, and user needs across globally distributed teams
Applied AI Engineer
Engineering•New York, NY•Full-time
Build the Hedgineer AI Platform—leveraging Skills, MCP, evaluations, Claude Agent SDK, and the plugin marketplace to ensure asset management firms have the most successful AI deployments in the industry.
Requirements
- Bachelor’s or Master’s degree in Computer Science or a comparable discipline
- 3+ years of software engineering experience
- Deep understanding of the application and architecture of agentic frameworks (ex: Claude Agent SDK, Codex, Gemini CLI, etc)
- Experience building and using Claude Code plugins, marketplaces, MCP Servers, and Skills to streamline workflows and automate complex tasks
- Proven thought leadership in how to construct and optimize prompts, .cursorrules, .claude.md, and other artifacts to get the most out of AI
- Excellent understanding of how Python works and how it can be used to build strong backend services with tools like FastAPI, Polars, DuckDB, asyncio, uv, etc
- Familiarity with MCP-UI and similar UI frameworks for building interfaces on top of agentic systems
- Familiarity with or hands-on experimentation in DSPy, LanceDB, LangGraph, and other emerging AI/data libraries
- Deep passion for AI that goes beyond working hours. The ideal candidate keeps up with the AI community via social media, newsletters, etc to stay up-to-date on developments and explore new technologies as they arise
- Experience in buyside, sellside, or service providers for asset managers strongly preferred
Responsibilities
- Design and build MCP servers, Skills, Agent frameworks, evaluation systems, telemetry infrastructure, and analytics platforms that ensure asset management clients achieve measurable success with AI deployments on the Hedgineer platform
- Create reusable tools and frameworks specifically designed for C-Suite stakeholders—enabling them to measure how effectively AI is being used across their enterprise
- Build systems that enable continuous improvement of AI deployments across the organization, focusing on fine-tuning reusable tokens and application-layer optimizations (not model weights or training)
- Develop evaluation frameworks that quantify AI effectiveness and provide actionable insights for enterprise AI adoption
- Work directly with asset management clients on their AI implementation strategies, adoption journeys, and ongoing optimization—this is a client-facing technical role
- Focus exclusively on the application layer and UX of AI systems—you won't be doing model fine-tuning, weight adjustments, or model training
- Contribute to the plugin marketplace ecosystem by building and publishing tools that benefit the broader asset management community
- Share best practices, frameworks, architectural patterns, and learnings internally across the engineering team to elevate AI capabilities company-wide
- Collaborate with clients to understand their unique workflows and translate them into generalizable, reusable AI tools and patterns
- Drive the evolution of Hedgineer's AI platform based on real-world deployment feedback, usage metrics, and client outcomes
Cloud Engineer
Engineering•New York, NY•Full-time
Own the cloud infrastructure powering some of the world's most sophisticated hedge funds—from secure client environments and network architecture to backend systems and DevOps automation.
Requirements
- Bachelor’s or Master’s degree in Computer Science or a comparable discipline
- 3+ years of cloud infrastructure or platform engineering experience, preferably on Azure
- Proficiency in Infrastructure as Code (Terraform) and strong scripting skills (Bash, Python)
- Expertise in networking, VPNs, and secure cloud connectivity
- Hands-on experience with containerization (Docker) and CI/CD pipelines
- Deep understanding of database technologies for analytical and transactional workloads (Redis, MSSQL, Azure SQL)
- Excellent problem-solving and communication skills; comfort working in a fast-paced, client-facing environment
- Exposure to financial technology, hedge funds, or multi-tenant SaaS architecture strongly preferred
Responsibilities
- Design, implement, and manage scalable, secure cloud infrastructure (primarily Azure) using Infrastructure as Code (Terraform)
- Architect and manage VPN solutions, private endpoints, virtual networks, and client connectivity
- Build and maintain CI/CD pipelines, containerized environments (Docker), and automation scripts
- Provision and configure isolated single-tenant client environments, including onboarding and connectivity setup
- Design and optimize distributed backend systems—caching strategies, database selection, and OLAP/OLTP workflows
- Collaborate with Forward Deployed Engineers and the product team to align infrastructure decisions with client needs and business strategy
Bangalore
Product Engineer
Engineering•Bangalore, IND•Full-time
Build custom full-stack solutions for hedge funds—working directly with clients to turn their workflows into elegant, production-grade applications.
Requirements
- 3+ years of full-stack engineering experience building production applications
- Strong Python skills with experience building APIs using FastAPI, Flask, or Django
- Frontend development experience with modern frameworks (React, Vue, or similar)
- Experience with SQL, analytical libraries (Polars, Pandas), and OLAP databases
- Passion for product—strong desire to work with clients, understand user needs, and iterate based on feedback
- Excellent communication skills for translating technical concepts to non-technical stakeholders
- Exposure to financial data systems or portfolio analytics strongly preferred
Responsibilities
- Build full-stack applications tailored to each client's unique portfolio analytics, risk management, and research workflows
- Work directly with hedge fund teams to understand requirements, gather feedback, and iterate on product design
- Design and maintain high-performance backend APIs and intuitive frontend interfaces
- Implement financial analytics layers for performance and risk calculations using Python, Pandas, and Polars
- Leverage Hedgineer's core infrastructure—caching, OLAP databases, data pipelines—to accelerate delivery of custom solutions
- Drive product decisions by understanding client needs and balancing customization with maintainability
Data Engineer
Engineering•Bangalore, IND•Full-time
Build AI-powered data infrastructure that automates pipeline creation and transforms how hedge funds access and analyze their data.
Requirements
- 3+ years of software engineering experience with focus on data engineering
- Exceptional programming skills in Python and SQL; expertise with Pandas or Polars
- Experience building production ETL pipelines using orchestration tools (Airflow, Dagster, Prefect)
- Hands-on experience with DBT, DuckDB, and event-based ETL architectures
- Passion for AI—genuine curiosity about how AI can transform data engineering, with experience using AI tools in development
- Experience building resilient data pipelines on Databricks strongly preferred
- Exposure to financial domain analytics or hedge funds highly valued
Responsibilities
- Design and implement AI systems that automate pipeline creation, data transformation logic, and workflow orchestration
- Build scalable, high-performance ETL pipelines that handle critical financial market data
- Design event-driven ETL systems to support both real-time and batch data processing needs
- Experiment with and deploy AI agents, code generation tools, and LLM-powered solutions
- Run analytics on large datasets to uncover insights, validate models, and propose new platform features
Product Manager
Engineering•Bangalore, IND•Full-time
Shape products at the intersection of AI and finance—working directly with hedge fund clients to build tools that transform institutional investing.
Requirements
- 8+ years of product management experience on consumer or enterprise software products with direct user exposure
- Proven track record building elegant solutions to complex problems, with shipped products users love
- Passion for AI—demonstrated experience using AI tools to streamline workflows and improve productivity
- Strong communication skills and ability to work with cross-functional, distributed teams
- User-centric mindset with passion for understanding customer needs
- 2+ years of software engineering experience strongly preferred
- Exposure to financial markets, hedge funds, or portfolio analytics highly valued
Responsibilities
- Experiment with and implement AI capabilities that enhance product functionality and automate workflows
- Own end-to-end product development, from gathering requirements to defining specifications and guiding implementation
- Work directly with hedge fund clients to understand their workflows, pain points, and requirements
- Transform complex financial and technical concepts into clear, actionable product specifications
- Collaborate with designers and engineers to build intuitive interfaces for sophisticated analytics
- Define product metrics, gather user feedback, and iterate based on real-world usage
- Balance technical feasibility, business value, and user needs across globally distributed teams