Applied Financial Services Researcher

Accordance•San Francisco, CA

1d•Onsite

About The Position

Accordance is a secure AI platform for professionals in accounting and finance that augments productivity and automates complex workflows. Accordance uses algorithms with reasoning-adept LLMs that have been customized by our expert team of finance professionals, engineers, and research scientists. We’ve found product-market fit and are scaling our team very quickly. We are looking for a financial services & accounting researcher with a strong understanding of how large firms and other organizations deliver professional services and execute complex finance, accounting, and knowledge work tasks. We have incredible product-market fit & demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customer’s workflows and how those workflows can be accelerated by AI systems. To facilitate the development of these systems, you will: Work with clients to understand their workflows and develop subject matter expertise on high value problems at leading professional services firms Translate these problems into AI systems and work closely with our ML research team to define and develop these systems Elucidate and develop expertise from generalist models through prompt engineering and fine-tuning Build proprietary internal benchmarks to evaluate models and model systems Receive and integrate feedback from clients into research and development processes to define and achieve positive outcomes Tackle unsolved AI product problems — user experiences for million-token many-step agents, instant retrieval over huge TB datasets, etc. Work closely with our founders, execs, and research teams

Requirements

3-7 years of experience at a large financial services or accounting firm or equivalent professional service provider
Demonstrated ability to deliver high quality work product on demanding deadlines
Ability to effectively communicate with both clients and internal stakeholders and translate seamlessly and effectively between both groups
Ability to define positive outcomes in situations with underspecified success criteria
Willingness and desire to do work in the trenches — e.g., grading hundreds of answers, breaking down thousands of documents — getting the models to do junior associate work requires a lot of things that look like junior associate work

Responsibilities

Work with clients to understand their workflows and develop subject matter expertise on high value problems at leading professional services firms
Translate these problems into AI systems and work closely with our ML research team to define and develop these systems
Elucidate and develop expertise from generalist models through prompt engineering and fine-tuning
Build proprietary internal benchmarks to evaluate models and model systems
Receive and integrate feedback from clients into research and development processes to define and achieve positive outcomes
Tackle unsolved AI product problems — user experiences for million-token many-step agents, instant retrieval over huge TB datasets, etc.
Work closely with our founders, execs, and research teams