12 дней назад
Senior Analyst (AI)
130 000 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analyst (AI): Building business-critical private equity applications and applied-AI capabilities with an accent on Python, React/Next.js, data pipelines, and LLM-based workflows. Focus on developing RAG pipelines, agentic automation, and secure production software that connects proprietary investment data with stakeholder workflows.
Location: Washington, DC; in-office requirement of 4 days per week
Salary: $130,000–$140,000 annual base salary, plus benefits and potential discretionary incentive compensation.
Company
is a global investment firm focused on private equity, credit, and alternative asset management.
What you will do
- Build and maintain business-critical Global Private Equity applications from design through deployment and ongoing support.
- Develop full-stack functionality with Python, React, and Next.js, including APIs, services, and data pipelines.
- Connect Snowflake, third-party market and portfolio data, and internal systems.
- Build applied-AI capabilities including LLM-assisted workflows, intelligent automation, RAG pipelines, knowledge graphs, and agentic components.
- Work with Deal Teams, Fund Management, data teams, platform teams, and engineering stakeholders to identify opportunities and deliver measurable automation outcomes.
- Support adoption through prototyping, demos, documentation, user enablement, monitoring, and feedback.
Requirements
- Bachelor’s degree required; computer science, engineering, or a related quantitative concentration preferred.
- At least 2 years of relevant experience and professional software engineering experience.
- Hands-on Python application development experience required.
- Knowledge of relational databases, SQL, APIs, and data pipeline development.
- Ability to work directly with business users and communicate with technical and non-technical stakeholders.
- Ability to work in the Washington, DC office 4 days per week.
Nice to have
- React or Next.js frontend development experience.
- Experience with Snowflake, Databricks, PostgreSQL, or similar enterprise data platforms.
- Experience with agentic harnesses, document intelligence, OCR, layout parsing, or LLM-based extraction.
- Background in alternative asset management, private equity, financial services, or startups.
Culture & Benefits
- Collaborative environment where ideas are openly shared and challenged.
- Opportunities for professional development and continuous learning.
- Retirement benefits, health insurance, life insurance, and disability coverage.
- Paid time off, paid holidays, family planning benefits, and wellness programs.
- Potential participation in an annual discretionary incentive program based on individual and organizational performance.
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