Member of Technical Staff, Finance Research — AI & Financial Intelligence (Remote)

$200,000–$250,000/year | Remote | Full-time (1 Opening)

--------------------------------

About the Role:

SourceBridge Co. is seeking a highly experienced Member of Technical Staff, Finance Research to help advance AI-powered financial reasoning and enterprise financial intelligence.

 

This role sits at the intersection of financial research, large language models, agentic systems, and enterprise finance. You will help design rigorous evaluation frameworks, benchmarks, datasets, and research methodologies for measuring and improving AI performance across complex financial workflows.

 

The ideal candidate combines deep finance expertise with strong analytical and research capabilities and can translate complex real-world financial problems into measurable evaluation criteria.

 

What You'll Be Doing:

• Design, own, and evolve evaluation frameworks for AI agents operating in financial domains, including benchmark suites, scoring methodologies, quality rubrics, and research-grade evaluation protocols.
• Conduct applied research into financial reasoning, decision-making, and workflow automation.
• Translate research findings into measurable improvements in AI system performance.
• Develop and curate datasets, test cases, and benchmark environments representing real-world enterprise finance challenges.
• Collaborate with AI researchers, machine learning engineers, and product teams to evaluate and improve finance-focused models and agentic systems.
• Analyze model behavior, failure modes, and performance trends to generate actionable research insights.
• Produce internal research findings, technical reports, methodologies, and best-practice documentation.
• Monitor advances in AI, machine learning, financial modeling, evaluation science, and agent architectures.
• Incorporate emerging techniques into financial AI research and evaluation initiatives.
• Help establish research standards and thought leadership for enterprise financial intelligence and AI evaluation.
• Promote scientific rigor, experimentation, and collaborative innovation within a distributed research environment.

 

 

Required Skills:

• Financial research
• Enterprise finance
• Financial analysis
• AI benchmarking
• Agentic finance workflows
• Quantitative research
• Evaluation framework development
• Analytical methodology
• Critical thinking
• Research and technical writing

 

What We're Looking For:

• Advanced degree in Finance, Economics, Financial Engineering, Quantitative Finance, or a related field.
• PhD strongly preferred; MBA, CFA, or equivalent expertise may also be considered.
• Deep expertise in one or more areas of finance, including:
• Investment research
• Capital markets
• Risk management
• Corporate finance
• Accounting
• Financial analysis
• Demonstrated experience conducting rigorous research or developing analytical methodologies.
• Experience creating evaluation frameworks, benchmarks, or structured assessment methodologies.
• Ability to translate ambiguous financial problems into measurable research questions and evaluation criteria.
• Exceptional analytical and critical-thinking skills.
• Strong written and verbal communication skills.
• Experience producing research reports, technical documentation, or thought-leadership content.
• Ability to work effectively across research, engineering, and product teams.

 

Preferred Qualifications:

• Experience evaluating, benchmarking, or researching large language models, AI agents, reasoning systems, or enterprise AI applications.
• Familiarity with agentic workflows, AI evaluation methodologies, synthetic data generation, or model alignment.
• Knowledge of contemporary research in machine learning, financial AI, decision intelligence, or computational finance.
• Experience designing industry benchmarks, assessment frameworks, or performance standards.
• Publication record in academic conferences, journals, industry research, or influential technical publications.
• Experience with Python, SQL, statistical analysis, machine learning frameworks, or other quantitative research tools.

 

Who Should Apply?

• $200,000–$250,000 annual base salary.

• Full-time remote opportunity.

• Equity compensation eligibility.

• Potential performance-based bonuses.

• Opportunity to work at the intersection of finance and advanced AI.

• Contribute to research shaping AI-powered financial reasoning.

• Collaborate with researchers, engineers, and product professionals.

• Work on challenging problems involving enterprise finance and agentic AI systems.

 

Benefits:

Eligible employees may receive benefits including:

• Health insurance premium reimbursement
• Paid time off
• 401(k) plan with company match
• Equity compensation
• Performance-based bonus opportunities
• Additional benefits designed to support a remote-first workforce

 

Who Should Apply?

This opportunity is particularly suited to finance researchers and quantitative finance professionals who can combine deep financial domain expertise with rigorous research and evaluation thinking.

 

Candidates should be comfortable asking not only whether an AI system produces a plausible financial answer, but whether its reasoning, methodology, assumptions, evidence, and conclusions are actually reliable.

 

Application Process:

Qualified professionals can apply through the SourceBridge Co. website.

 

Or contact me: amjad@sourcebridgeco.com
WhatsApp: 0092-311-4939154

 

Apply Now: