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Enabling Qapital AG · 1 month ago

Senior Python Engineer – Impact Asset Management

United States

Full-time

Remote

Senior Level, Lead/Staff

10+ years exp

Enabling Qapital AG is a leading Impact Asset Manager focused on delivering both financial and social returns. They are seeking a Senior Python Engineer to lead the development of their analytics infrastructure, tools, and systems that support both listed EM debt and private debt portfolios.

Asset ManagementConsultingFinancial ServicesFunding Platform

No H1B

Responsibilities

Develop end-to-end Python-based tools for portfolio management, analytics, and decision support

Build and maintain data pipelines for holdings, pricing, benchmarks, liquidity, and ESG datasets

Design and maintain the architecture of the analytics platform, ensuring that data pipelines, models, tools, and integrations operate as a coherent and scalable system

Implement portfolio-level and deal-level analytics:

Yield curve construction

Spread modelling

Cash-flow projections

Stress testing & scenario analysis

Portfolio optimization

Integrate core systems such as:

PMS (Portfolio Management Systems)

Risk systems (pre-trade, post-trade)

Pricing engines

Optimizers and stress-test frameworks

Ensure robust engineering practices:

Version control (Git)

CI/CD pipelines

Code testing & quality assurance

Documentation & reproducibility

Mentor junior engineers or analysts, participate in architecture decisions, and contribute to team development

Qualification

PythonSQLData architectureFixed income knowledgePortfolio management systemsAutonomous workFluency in EnglishCommunication skillsMentoring

Required

Master's degree in Computer Science, Engineering, Applied Mathematics, or related quantitative discipline

10+ years of professional Python development experience in production environments

Strong knowledge of the Python data stack: pandas, NumPy, SciPy, etc

Expertise in SQL and working with relational databases (e.g., PostgreSQL)

Deep understanding of fixed income and credit markets, especially: Sovereign & corporate EM debt

Familiarity with private debt structures, cash-flow modelling, and deal analytics

Experience designing scalable architectures for data, analytics, and financial systems

Experience integrating PMS and risk systems, managing portfolio and risk data

Demonstrated ability to work with complex Excel models, ensuring data integrity, linked-file management, and seamless integration with automated Python workflows

Excellent communication skills and fluency in English (C1+)

Ability to work autonomously and deliver production-quality code in an investment environment