8 дней назад
Data Analytics Developer, AVP - Credit and Insurance
100 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analytics Developer, AVP - Credit and Insurance (Python/SQL): Building scalable data-driven analytics tools, portfolio risk dashboards, analytical models, and data platforms for the Credit & Insurance business with an accent on data transformation, database architecture, and financial analytics. Focus on designing reusable high-performance models, developing interactive visualizations with Sigma and Tableau, and extending Snowflake and AWS data infrastructure.
Location: Miami, United States
Expected annual base salary: $100,000–$170,000, plus discretionary bonuses and potential equity or incentive compensation.
Company
is a global alternative asset manager, while Technology & Innovations develops systems for risk management, operational efficiency, and transparency across its investment businesses.
What you will do
- Analyze, design, implement, test, debug, and deploy scalable data-driven analytics tools for the Credit & Insurance platform.
- Build interactive dashboards and applications that provide portfolio risk insights for internal managers and external clients.
- Transform diverse, unstructured, and unclean datasets into organized formats suitable for data science and analytics.
- Develop reusable analytical models and clean, scalable Python and SQL code for portfolio analytics platforms.
- Build data visualization tools with Sigma and Tableau and extend data warehouses and core analytics architecture using Snowflake and AWS.
- Collaborate with portfolio managers, asset allocators, middle-office operations, data governance, risk, and fund finance teams.
Requirements
- Bachelor’s or master’s degree in a STEM field such as engineering, computer science, or data science.
- At least 3 years of experience in data analytics or data science.
- Proficiency in Python, SQL, database design, and performance optimization.
- Experience with business intelligence applications such as Sigma and Tableau and scalable portfolio analytics platforms.
- Knowledge of big-data analytical techniques, AWS, Snowflake, mathematics, statistics, and financial risk methodologies.
- Ability to design reusable analytics models, efficient data structures, and accurate processing pipelines for diverse financial datasets.
Nice to have
- Experience with fixed-income investment strategies.
- Experience developing web applications with React and TypeScript.
- Experience with Terraform and AWS infrastructure.
Culture & Benefits
- Entrepreneurial and iterative engineering environment with opportunities to take projects from idea to implementation.
- Active mentoring and professional development focused on technical excellence.
- Medical, dental, vision, and FSA benefits.
- Paid time off, life insurance, and a 401(k) plan.
- Discretionary bonuses and potential equity or other incentive compensation for eligible employees.
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