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8 дней назад

Data Analytics Developer, AVP - Credit and Insurance

100 000 - 170 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global is a global alternative asset manager, while hirify.global 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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