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3 дня назад

Senior Investment Data Analyst (AI Enablement)

94 500 - 132 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Investment Data Analyst (AI Enablement) (SQL/Python/Snowflake): Building and improving trusted, scalable investment data flows, controls, and analytics across asset classes with an accent on data quality, business requirements, and responsible AI enablement. Focus on reconciling complex datasets, investigating exceptions, validating data interfaces, and translating investment needs into secure, production-ready solutions.

Location: Atlanta, GA; hybrid schedule with approximately 2–3 days per week onsite and the remaining time remote.

Salary: $94,500–$132,500 USD annual base salary, plus potential incentive compensation.

Company

hirify.global provides financial and investment management services focused on improving customers’ long-term financial outcomes.

What you will do

  • Partner with investment, operations, technology, reporting, and data management stakeholders to define business needs and requirements.
  • Translate business objectives into functional requirements, data specifications, acceptance criteria, testing scenarios, and process improvements.
  • Analyze, reconcile, validate, and profile investment data across fixed income, equities, derivatives, mortgage-related investments, and other asset classes.
  • Monitor data flows from internal systems, custodians, administrators, market-data providers, and investment platforms into reporting warehouses.
  • Investigate data exceptions, identify root causes, and improve data quality, controls, reporting, and operational workflows.
  • Use approved AI tools such as GitHub Copilot and Microsoft Copilot to support analysis, documentation, testing, anomaly detection, and exception classification while maintaining human oversight.

Requirements

  • Bachelor’s degree in finance, accounting, economics, information systems, computer science, data analytics, engineering, or a related field; equivalent experience may be considered.
  • Seven or more years of experience in investment management, asset management, investment operations, financial services, business analysis, data management, or data analytics.
  • Strong investment-data knowledge across front-, middle-, and back-office functions and practical understanding of multiple asset classes.
  • Strong SQL skills for querying, joining, reconciling, profiling, and validating large datasets.
  • Experience with data warehouses or cloud data platforms, data mapping, data lineage, data controls, data quality, and integration or user acceptance testing.
  • Excellent stakeholder communication, facilitation, presentation, problem-solving, and root-cause analysis skills.

Nice to have

  • Experience with Snowflake, Python, GitHub, APIs, JSON, Parquet, notebooks, Power BI, Streamlit, semantic models, data catalogs, or metadata tools.
  • Experience with GitHub Copilot, Microsoft Copilot, Snowflake Cortex, or comparable enterprise AI tools and responsible-AI practices.
  • Familiarity with BlackRock Aladdin, Bloomberg, State Street, BNY, Charles River, FactSet, SimCorp, or comparable investment platforms.
  • Experience with market data, security master data, portfolio and accounting data, performance, attribution, risk, regulatory reporting, or client reporting.
  • CFA, FRM, CPA, CBAP, product owner, cloud, data management, or Agile certification.

Culture & Benefits

  • Collaborative environment spanning investment, operations, technology, and external service providers.
  • Health, dental, vision, and life insurance plans.
  • 401(k) plan with company matching contributions of up to 6% and an employer-paid cash balance retirement plan.
  • Tuition reimbursement of up to $5,250 per year.
  • Twenty days of paid time off, nine paid company holidays, a flexible Diversity Celebration Day, and 40 hours of paid volunteer time annually.

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