Design and build front-office quantitative tools and infrastructure supporting portfolio managers, traders, and alternative asset managers across fixed income and credit strategies
Develop and maintain data ingestion and processing pipelines integrating data from major financial vendors (ICE, Bloomberg, FactSet, Kamakura, LSEG, and others)
Build and enhance portfolio analytics, optimization frameworks, and simulation environments for portfolio construction, risk analysis, and strategy implementation
Design and implement daily trading order generation and portfolio management workflows, integrating quantitative tools with front-office systems to streamline the investment process
Partner with portfolio managers and traders to translate investment workflows and business requirements into scalable technical solutions
Develop backend services and API interfaces for the AIMI internal investment platform, enabling seamless interaction between analytics systems and front-office applications
Build scalable, maintainable Python-based analytics libraries and services following software engineering and quantitative development best practices
Ensure data quality, integrity, and consistency across all datasets used for portfolio construction, risk analysis, and trading decisions
Collaborate with quant researchers, risk, IT, and operations teams to deliver robust and scalable quantitative infrastructure across the investment platform
Contribute to building a best-in-class, data-driven investment technology platform supporting both fixed income and alternative strategies
Support the production environment of quantitative tools used by the investment team, ensuring reliability, transparency, and operational efficiency

Requirements

10+ years of experience in quantitative engineering, financial engineering, or front-office technology within asset management, hedge funds, financial institutions or other similarly data-driven entity
Strong hands-on Python programming skills, including production-quality analytics and data processing frameworks
Experience working with financial market data vendors such as Bloomberg, ICE, FactSet, Kamakura, LSEG, or similar large financial datasets
Deep experience in data ingestion, normalization, and large-scale data processing, preferably in financial markets environments
Solid understanding of fixed income and credit markets, including bonds, credit risk metrics, and portfolio analytics preferred
Experience designing and implementing portfolio optimization or simulation frameworks preferred
Track record building front-office quantitative tools used by portfolio managers or traders
Familiarity with REST APIs and backend service development for internal applications and analytics platforms
Proven ability to collaborate with quant researchers, portfolio managers, risk teams, and technology groups in complex data-rich environments
Strong analytical, problem-solving, and engineering skills with the ability to translate business requirements into scalable technical solutions
Excellent communication skills — able to convey complex quantitative and technical concepts to investment professionals
Strong team player comfortable working across investment, research, and technology teams in a fast-paced environment.

Benefits

multiple medical plans plus dental, vision and prescription drug coverage
a competitive 401k with generous matching
PTO beginning at 20 days per year
up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer
basic Life and AD&D Insurance as well as Short and Long-Term Disability
Paid Parental Leave of up to 10 weeks
Student Loan Assistance and Tuition Reimbursement
Backup Child and Elder Care

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Python programmingdata ingestiondata processing frameworksportfolio optimizationsimulation frameworksquantitative engineeringfinancial engineeringbackend service developmentREST APIsdata normalization

Soft Skills

analytical skillsproblem-solving skillscollaborationcommunication skillsteam playerability to translate business requirementsinterpersonal skillsorganizational skillsadaptabilityattention to detail