Python Quantitative Developer

A Series A financial technology company helping financial advisers understand and manage investment risk. Its platform analyzes investment portfolios and transforms complex financial data into actionable insights advisers can use with their clients.

The company combines financial engineering, quantitative analysis, and software development to deliver reliable portfolio risk insights.

We are looking for a Senior Python Engineer — Investment Risk to own the production code behind the platform’s investment-risk scores.

You will translate financial methodologies into reliable software, validate calculations, investigate unexpected results, and improve the integrity of a core financial product.

Working within an existing Python/Django application , you will initially focus on understanding the current scoring system, resolving recurring issues, and building automated validation infrastructure that makes future changes safer.

This role is particularly suited for an engineer who combines strong production Python engineering with practical knowledge of investments, portfolio risk, and financial data , and who is comfortable taking ownership of complex systems.

You will:

• Build and maintain production Python code implementing investment-risk calculations and scoring methodologies
• Work within an existing Django application , following engineering standards for testing, code review, CI, and database migrations
• Translate financial methodologies into reliable, repeatable, and scalable software
• Build automated validation frameworks comparing scoring outputs against reviewed reference cases for securities and portfolios
• Integrate validation checks into CI/CD pipelines to prevent incorrect changes from reaching production
• Investigate production scoring issues and identify whether root causes come from code, data, or methodology
• Improve investment classification by resolving straightforward errors and escalating complex cases to financial specialists
• Assess the impact of scoring or classification changes across securities, portfolios, and customers
• Implement safe deployments, staged releases, and verified rollback procedures
• Work with financial and engineering teams to improve scoring integrity and system reliability
• Document calculation logic, technical decisions, changes, and findings clearly

Must Have

• 3–5+ years of professional software engineering experience, including ownership of production systems after release
• Strong hands-on experience with Python and Django in production environments
• Experience with pandas, NumPy, and SQL for data processing and financial calculations
• Strong understanding of software engineering practices, including automated testing, code review, CI/CD, and database migrations
• Experience building or maintaining investment, portfolio, pricing, financial, or risk-analytics software
• Practical understanding of portfolio risk concepts, including volatility, correlation, concentration, and downside risk
• Ability to identify implausible financial calculations and investigate discrepancies
• Working knowledge of US investment instruments, including equities, fixed income, funds, ETFs, annuities, structured products, cash equivalents, and private assets
• Experience debugging existing production systems and safely modifying live financial data
• Ability to build automated validation using reference data or known expected results
• Strong ownership, problem-solving, and technical communication skills
• Experience with financial code that was deployed, used, and maintained — not only research notebooks or prototypes
• Advanced English communication skills

Nice to Have

• Experience with tax-aware investment analytics, including after-tax returns, cost basis, tax-aware sequencing, or tax-loss harvesting
• Experience with financial data providers, security identifiers, and asset classification taxonomies
• Experience building golden-data tests or reference-set validation frameworks
• Experience with large-scale data migrations, backfills, and idempotent processing
• Experience with portfolio management, wealth management, investment platforms, or financial advisory technology
• Familiarity with Django-based financial applications and complex calculation pipelines
• Experience developing diagnostic tools that enable other engineers to investigate production issues independently
• Knowledge of model governance, scoring integrity, and audit-ready documentation

Soft Skills - Ideal Profile

• Strong ownership and accountability for production systems
• Analytical and detail-oriented,