Senior Python Engineer – Impact Asset Management

About Enabling Qapital (EQ)

Enabling Qapital Ltd. (EQ) is a FINMA-regulated, leading Impact Asset Manager dedicated to delivering both financial and social returns. With over USD 800M in assets under management, we invest across Microfinance, Access to Energy, and Clean Cooking sectors in emerging and frontier markets.

We manage a diverse portfolio that includes in-house Private Debt Funds and a USD‑denominated Emerging Markets Debt UCITS Fund. Our investment process blends traditional credit analysis with data‑driven tools, automation, and systematic monitoring.

With a team of 60+ professionals representing 12 countries and speaking over 21 languages, EQ is built on a foundation of diversity, innovation, and impact.

We are looking for a Senior Python Engineer to lead the development of our analytics infrastructure, tools, and systems supporting both listed EM debt and private debt portfolios.

This is a high‑impact, cross‑functional role involving collaboration with portfolio managers, credit analysts, risk, and operations teams. You will lead in the design and building of tools that power portfolio optimization, deal analytics, pricing, and risk management.

• 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.

• 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, Num Py, Sci Py, etc.
• Expertise in SQL and working with relational databases (e.g., Postgre
  
  SQL).
• 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.

• Prior experience in asset management, hedge funds, or investment firms.
• Experience with:
  • Financial data vendors (Bloomberg, MSCI, Market Axess)
  • Building backtesting or P&L attribution tools
• Strong academic or analytical record (e.g., top university, coding competitions, GMAT).
• Fluency in German or French is a plus.

• Opportunity to work at the intersection of private and listed impact investing.
• Autonomy and ownership in building scalable, production‑grade systems.
• Exposure to real‑world investment challenges across private and public credit.
• A collaborative and diverse global team committed to impact and innovation.
• Competitive salary and performance‑driven growth potential.
• 100% remote work setup aligned with Geneva and Zurich time zones.
• Team of 5–6 engineers and analysts, with direct collaboration across investment functions.

• Remote‑friendly position (100%)
• Candidates must be available to work within Central European Time (CET) business hours.
• Appli…