обновлено 1 месяц назад
Portfolio Analytics Architect (Investment Management)
103 000 - 129 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Portfolio Analytics Architect (Investment Management) (Python/Databricks): Leading end-to-end client data validation for complex investment portfolios with an accent on scalable analytics, anomaly detection, and performance discrepancy research. Focus on building distributed validation processes, automating remediation with Python and AI/LLM integrations, and coordinating complex data conversion projects.
Location: Salt Lake City, United States; applicants must be legally authorized to work in the United States and begin work there on the first day.
Salary: $103,000–$129,000 base salary, plus bonus, equity, and benefits.
Company
is a global data and AI platform that helps investment professionals manage complex portfolio, market, and client data.
What you will do
- Lead end-to-end data validation with clients and internal project teams during data conversion projects.
- Develop scalable data analytics and validation processes in Databricks.
- Write custom Python logic to detect large-scale anomalies and automate remediation.
- Research portfolio performance discrepancies, recommend fixes for manual data issues, and document calculation methodology differences.
- Facilitate recurring client sessions, communicate project status, and manage expectations across project teams.
- Identify and implement AI-driven automation and LLM integrations while escalating project risks to stakeholders and executive leadership.
Requirements
- Bachelor’s degree in Finance, Mathematics, Statistics, Business, or Economics.
- 2+ years of experience in Technology, Finance, or Consulting.
- Hands-on experience with complex investment datasets, including multi-asset portfolios, performance data, and market data.
- Proficiency in Python, Spark, and/or SQL, with familiarity with ETL fundamentals.
- Working knowledge of REST APIs and experience with Databricks or a cloud-based distributed data platform.
- Strong problem-solving, communication, presentation, client-management, and project coordination skills.
Culture & Benefits
- Compensation includes base salary, bonus, equity, and benefits.
- Values emphasize ownership, collaboration, client success, innovation, and continuous learning.
- Inclusive workplace with reasonable accommodation available during hiring and employment.
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