7 дней назад
Investment Data Scientist (Python & Portfolio Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Investment Data Scientist (Python & Portfolio Analytics) (Python/quantitative finance): Developing production-quality Python systems for portfolio construction, optimization, statistical analysis, and automated investment workflows with an accent on quantitative modeling, financial datasets, and interactive visualizations. Focus on designing mixed-integer and Monte Carlo optimization models, validating analytical results, and translating complex investment insights into dashboards for decision-makers.
Location: Saint Petersburg, Florida, United States; hybrid workstyle
Company
is a financial services firm focused on client-first investment and wealth management solutions.
What you will do
- Develop and maintain production-quality Python code for portfolio construction, statistical analysis, and investment workflow automation.
- Design and implement portfolio optimization algorithms, including quantitative models for investment decision-making.
- Apply statistical methods to financial datasets, including regressions, time series analysis, and Monte Carlo simulation.
- Collaborate with Investment Committee members, analysts, and quantitative team members to align models with investment objectives.
- Build automated processes that reduce manual work, errors, and workflow inefficiencies.
- Create interactive dashboards and visualizations that communicate analytical findings to non-technical stakeholders.
Requirements
- Bachelor’s degree in computer science, mathematics, statistics, physics, engineering, economics, finance, or a related quantitative field.
- 3–6 years of hands-on experience with Python development and quantitative analysis.
- Required experience with pandas, NumPy, SciPy, and optimization libraries such as CVXPY.
- Experience with portfolio construction, risk modeling, financial data analysis, statistical modeling, and optimization.
- Ability to write clean, documented, version-controlled Python code and validate models for accuracy and reliability.
- Ability to work in a hybrid setup in Saint Petersburg, Florida, United States.
Nice to have
- Knowledge of financial markets, investment products, portfolio theory, and performance attribution.
- Experience with Streamlit, Tableau, Power BI, Plotly Dash, or similar visualization platforms.
- Experience with Django for database management.
- Advanced investment concepts and practices in the securities industry.
Culture & Benefits
- Medical, dental, and vision benefits may be available.
- Life, critical illness, accident, and disability insurance may be available.
- Retirement savings, paid vacation, holidays, sick leave, and parental leave may be available.
- Less than 25% travel is expected.
- Guiding behaviors emphasize development, collaboration, decisive execution, accountability, and continuous improvement.
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