Enabling Qapital AG · 1 day ago
Senior Python Engineer – Impact Asset Management
United States
Full-time
Remote
Senior Level, Lead/Staff
10+ years expEnabling Qapital AG is a leading Impact Asset Manager dedicated to delivering both financial and social returns. They are seeking a Senior Python Engineer to lead the development of analytics infrastructure and tools that support their investment 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
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
Preferred
Prior experience in asset management, hedge funds, or investment firms
Experience with: Financial data vendors (Bloomberg, MSCI, MarketAxess)
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
Benefits
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.
Company
Enabling Qapital AG
Enabling Qapital Ltd.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Roger R. Müller
Co-Founder & Managing Partner
Christoph Dreher
Managing Partner
Recent News
2025-09-17
Company data provided by crunchbase