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Finance Fellowship Program information

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$33.5K

$100.4K

$155.5K

How much do finance fellowship program jobs pay per year?

As of Aug 10, 2026, the average yearly pay for finance fellowship program in the United States is $100,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $132,000.00 per year, depending on experience, location, and employer.

What is the difference between Finance Fellowship Program vs Financial Analyst?

AspectFinance Fellowship ProgramFinancial Analyst
Required CredentialsTypically recent graduates or early-career professionals; some programs may require a degree in finance, economics, or related fieldsBachelor's degree in finance, economics, or related field; certifications like CFA are common but not mandatory
Work EnvironmentStructured, rotational programs within financial institutions or consulting firms; focus on training and developmentIndividual or team-based analysis within finance departments; focus on data analysis, reporting, and decision support
Employer & Industry UsageUsed by banks, consulting firms, and financial services companies for talent developmentCommon in corporations, investment firms, and banks for financial planning and analysis

The Finance Fellowship Program is a structured training initiative aimed at early-career professionals, often with rotational assignments, while a Financial Analyst typically performs ongoing analysis and reporting within a specific organization. Both roles require finance-related education, but the fellowship emphasizes training and exposure, whereas the analyst role focuses on applying skills to support business decisions.

What are the key skills and qualifications needed to thrive in a finance fellowship program, and why are they important?

To thrive in a Finance Fellowship Program, you need a solid understanding of financial principles, analytical skills, and a relevant degree in finance, accounting, or economics. Familiarity with financial modeling tools, Excel, and financial analysis software is typically required, and certifications like CFA or CPA can be advantageous. Strong communication, problem-solving abilities, and adaptability help fellows excel in collaborative and fast-paced environments. These skills and qualifications are crucial for effectively analyzing financial data, supporting strategic decisions, and advancing within finance roles.

What types of projects and responsibilities can participants expect during a finance fellowship program?

Participants in a Finance Fellowship Program typically work on a variety of projects, such as financial analysis, budgeting, forecasting, and strategic planning. Fellows may collaborate with cross-functional teams to support major business initiatives, prepare reports for senior management, and assist with audits or compliance tasks. The program is designed to provide broad exposure to different areas within finance, allowing fellows to develop practical skills and gain insights into various career paths within the organization. Regular mentorship and feedback sessions are also common, helping fellows grow professionally throughout the fellowship.

What is a finance fellowship program?

A Finance Fellowship Program is a structured, often competitive, training opportunity designed for early-career professionals or recent graduates interested in finance. These programs typically offer hands-on experience, mentorship, and exposure to various finance functions within an organization or industry. Fellows may work on real-world projects, attend workshops, and participate in networking events, all aimed at developing their skills and preparing them for finance-related careers. The duration and structure of fellowship programs can vary, but they usually last from several months to a year.
More about Finance Fellowship Program jobs
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Finance Fellowship Program jobs near you
Infographic showing various Finance Fellowship Program job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $100,365 per year, or $48.3 per hour.

Eloquent AI Fellowship Program

Eloquent AI

San Francisco, CA • On-site

Full-time

Re-posted 24 days ago

Job description

Meet Eloquent AI
At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments.
We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.
Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services.
Accelerate Your AI Career at Eloquent AI
The Eloquent AI Fellowship is a high-impact, hands-on program designed for STEM PhDs, post-docs, and early-career AI researchers looking to transition into the world of applied AI. If you're eager to develop, deploy, and optimize AI agents while gaining real-world experience in enterprise AI applications, this program is for you.
Through a structured, immersive experience, you'll work alongside AI engineers, product managers, and researchers, gaining exposure to AI model development, MLOps, and conversational AI systems. You'll leave the program ready to take on leadership roles in AI product development, engineering, or research.
You'll also have the opportunity to collaborate with Prof. Aldo Lipani, Eloquent AI co-founder, whose pioneering research has advanced fine-tuning, evaluation methods, and simulators for LLMs. You'll work on research projects involving AI evaluation, model robustness, and scalable testing frameworks-scientifically measuring, reproducing, and optimizing AI performance.
Program Structure
The Eloquent AI Fellowship is a 12-week rotational program providing in-depth exposure to AI engineering, applied ML, and AI-driven product management.
AI Engineering (6 weeks): Work on training, fine-tuning, and deploying AI agents that power enterprise-grade conversations. Gain hands-on experience in LLMs, RAG pipelines, prompt engineering, and inference optimization.
AI Product Development (4 weeks): Collaborate with AI product teams to design, iterate, and integrate AI solutions into enterprise applications. Learn how to bridge the gap between cutting-edge AI research and real-world impact.
Industry Applications & Capstone (2 weeks): Apply what you've learned in a real-world AI project, working with Eloquent AI's product, engineering, and research teams to solve enterprise challenges.
You'll be mentored by top AI practitioners and receive exclusive access to industry-leading resources, including AI speaker series, hands-on workshops, and networking with enterprise AI leaders.
You will:
  • Develop and deploy AI-powered agents, working with LLMs, RAG, and enterprise automation workflows.
  • Gain hands-on experience in AI infrastructure, including LLMOps, MLOps, cloud deployment, and model optimization.
  • Work on full-stack AI applications, collaborating with engineers and PMs to build scalable AI-driven products.
  • Translate AI research into practical applications, integrating the latest advances in language models, embeddings, and retrieval techniques.
  • Work directly with Eloquent AI's leadership, learning from top AI engineers and product innovators.
Requirements
This program is open to postdocs, current or recently graduated PhDs, and MSc students in STEM fields with a strong interest in AI applications.
  • Current or completed PhD or MSc degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
  • Strong mathematical foundation, particularly in statistics, linear algebra, and optimization techniques.
  • Programming experience, ideally in Python, with familiarity in ML frameworks like PyTorch and TensorFlow.
  • Interest in AI product development, data science, or machine learning engineering.
  • Ability to work in a fast-paced, collaborative AI-driven environment.

Bonus Points If...
  • You have experience with LLMs, NLP, or Retrieval-Augmented Generation (RAG).
  • You've contributed to open-source AI projects or published research in AI/ML conferences (NeurIPS, ICML, ICLR, NLP, SIGIR, etc.).
  • You have hands-on experience with LLMOps, MLOps, cloud-based AI infrastructure, or AI deployment at scale.
  • You have experience in AI strategy, product management, or business applications of AI.

Apply