Associate Director - AI Financial Engineer (Limited Duration Employee)
Data Freelance Hub, New York, New York, us, 10261
Associate Director – AI Financial Engineer (Limited‑Duration Employee)
⭐ Featured Role – Apply directly with Data Freelance Hub
This position is a limited‑duration contract of over 6 months, remote work with a pay range of $118,300 - $194,850 per year. The role requires expertise in AI, NLP, and financial markets. Candidates will work part‑time (minimum 20 hours/week) within the Asset Management Business Unit AI Squad.
Responsibilities
Lead end‑to‑end support and improvements to the financial document RAG pipeline (document parsing, retrieval, extraction, validation, and structured outputs).
Design and optimize embedding‑based retrieval and vector database operations, improving retrieval quality and reducing missed terms and incorrect extractions.
Implement agentic workflows, including reasoning, tool calling, multi‑step orchestration, and state/memory management to handle complex documents and edge cases.
Work with the QA team to build and maintain a rigorous AI results evaluation framework (benchmark datasets, labelling guidelines, metrics, regression tests, and experiment tracking).
Analyze extraction errors, develop an error taxonomy, and translate findings into prioritized fixes balancing quality, latency, and cost.
Help test and enhance Structured Finance / Private Credit domain‑specific Model Context Protocol implementation to improve tool reliability, tool selection, and end‑to‑end agentic workflow performance.
Collaborate with AI squad team, product, engineering, and domain stakeholders to clarify requirements, communicate progress, and document designs, decisions, and deliverables.
Qualifications
Master’s degree in Finance, Artificial Intelligence, Data Science, Information Technology, or related field. PhD complete or in progress (preferred).
5–10+ years of experience in Finance, Fixed Income, Structured Finance, and Private Credit (preferred).
3+ years of experience building and delivering AI‑enabled data and document processing solutions with proven, hands‑on track record of improving accuracy, consistency, and production reliability.
Deep hands‑on experience building and improving AI‑powered RAG‑based legal/financial document extraction (chunking, indexing, metadata, grounding, citation discipline).
Strong knowledge of NLP, Machine Learning, embeddings, vector databases (indexing, ingestion/re‑indexing, filtering, etc.) and semantic search and similarity analysis with proven retrieval optimization and prompt engineering skills.
Solid experience integrating LLM APIs, including context‑window budgeting, prompt/version management, and turning structured input to structured outputs.
Hands‑on work with agentic workflows: tool calling, multi‑step orchestration, memory/state management, MCP and sub‑agent.
Strong Python skills and working proficiency in SQL or equivalent database query and management tools.
Benefits & Location Remote work – candidates may work from anywhere in the United States. The position is based in New York, NY for reference purposes. Limited‑duration employees are eligible for base salary, completion bonus, insurance, and a discounted employee stock purchase plan.
Equal Opportunity & EEO Statement Moody’s is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
Apply Apply directly with Data Freelance Hub or submit a request to accommodations@moodys.com if you need a reasonable accommodation.
#J-18808-Ljbffr
This position is a limited‑duration contract of over 6 months, remote work with a pay range of $118,300 - $194,850 per year. The role requires expertise in AI, NLP, and financial markets. Candidates will work part‑time (minimum 20 hours/week) within the Asset Management Business Unit AI Squad.
Responsibilities
Lead end‑to‑end support and improvements to the financial document RAG pipeline (document parsing, retrieval, extraction, validation, and structured outputs).
Design and optimize embedding‑based retrieval and vector database operations, improving retrieval quality and reducing missed terms and incorrect extractions.
Implement agentic workflows, including reasoning, tool calling, multi‑step orchestration, and state/memory management to handle complex documents and edge cases.
Work with the QA team to build and maintain a rigorous AI results evaluation framework (benchmark datasets, labelling guidelines, metrics, regression tests, and experiment tracking).
Analyze extraction errors, develop an error taxonomy, and translate findings into prioritized fixes balancing quality, latency, and cost.
Help test and enhance Structured Finance / Private Credit domain‑specific Model Context Protocol implementation to improve tool reliability, tool selection, and end‑to‑end agentic workflow performance.
Collaborate with AI squad team, product, engineering, and domain stakeholders to clarify requirements, communicate progress, and document designs, decisions, and deliverables.
Qualifications
Master’s degree in Finance, Artificial Intelligence, Data Science, Information Technology, or related field. PhD complete or in progress (preferred).
5–10+ years of experience in Finance, Fixed Income, Structured Finance, and Private Credit (preferred).
3+ years of experience building and delivering AI‑enabled data and document processing solutions with proven, hands‑on track record of improving accuracy, consistency, and production reliability.
Deep hands‑on experience building and improving AI‑powered RAG‑based legal/financial document extraction (chunking, indexing, metadata, grounding, citation discipline).
Strong knowledge of NLP, Machine Learning, embeddings, vector databases (indexing, ingestion/re‑indexing, filtering, etc.) and semantic search and similarity analysis with proven retrieval optimization and prompt engineering skills.
Solid experience integrating LLM APIs, including context‑window budgeting, prompt/version management, and turning structured input to structured outputs.
Hands‑on work with agentic workflows: tool calling, multi‑step orchestration, memory/state management, MCP and sub‑agent.
Strong Python skills and working proficiency in SQL or equivalent database query and management tools.
Benefits & Location Remote work – candidates may work from anywhere in the United States. The position is based in New York, NY for reference purposes. Limited‑duration employees are eligible for base salary, completion bonus, insurance, and a discounted employee stock purchase plan.
Equal Opportunity & EEO Statement Moody’s is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
Apply Apply directly with Data Freelance Hub or submit a request to accommodations@moodys.com if you need a reasonable accommodation.
#J-18808-Ljbffr