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SOSPETER NANDWASN
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SOSPETER NANDWA

@sospeternandwa

Financial analyst specializing in AI evaluation, rubric-based finance reasoning QA.

Kenya
Message

What I'm looking for

I’m looking for fully remote, finance-domain AI evaluation work where I can apply rubric-based QA, RLHF feedback, and deep financial reasoning to deliver accurate, actionable analysis—and keep improving model reliability through precise, structured feedback.

I’m a financial analyst with a focus on AI evaluation and finance-domain quality assurance. With a BS in Economics and Finance from Kabarak University and three years at the intersection of financial analysis and AI evaluation, I deliver structured output assessment across platforms—including Mercor, Rise Data Labs, Handshake, and Micro1.

My work centers on AI-generated financial content like earnings summaries, market event analyses, and investment strategy outputs, where I look for failure modes such as hallucinated figures, overstated causal claims, and reasoning that sounds plausible but doesn’t hold against the underlying data. I bring strong fundamentals in financial statement analysis, valuation, and macroeconomics, backed by rubric-based rating, annotation, and RLHF feedback. In recent evaluator roles, I’ve identified issues across 200+ tasks, achieved top-15% evaluator quality on a platform, maintained 97% acceptance rates in annotation cycles, and helped reduce revision cycles and improve first-pass approvals through clear, actionable gap explanations.

Experience

Work history, roles, and key accomplishments

ME
Current

AI Financial Content Evaluator

Mercor

Apr 2024 - Present (2 years 2 months)

Evaluated AI-generated equity research and macro commentary against structured rubrics for factual accuracy, reasoning quality, and instruction adherence. Delivered RLHF preference-ranking feedback, identified hallucinated figures and unsupported causal claims across 200+ evaluation tasks, and ranked in the top 15% of evaluators.

MI
Current

AI Evaluator – Finance & Reasoning

Micro1

Feb 2024 - Present (2 years 4 months)

Evaluated LLM outputs across finance and multi-step logical tasks using per-task rubrics for correctness, instruction-following, and depth of financial reasoning. Produced structured RLHF rationales, maintained 90th+ percentile quality across six consecutive cycles, and created an error taxonomy for multi-step calculation failures.

FR
Current

Financial Content Evaluator & Analyst

Freelance

Jan 2023 - Present (3 years 5 months)

Reviewed and rated 500 AI-generated financial summaries, earnings interpretations, and macro analyses using structured rubrics for accuracy, logical coherence, and instruction adherence. Classified errors across 200 documents per quarter, cutting client revision cycles by 40% and achieving 97% satisfaction across 300+ deliverables.

RL

Financial AI Data Specialist

Rise Data Labs

Nov 2023 - Mar 2024 (4 months)

Annotated financial news and central bank communications to label causal relationships between macroeconomic events and asset price movements. Validated entity relationships for financial knowledge graphs and engineered GPT-4 prompts, completing 210 tasks per cycle at a 97% acceptance rate.

Kabarak University logoKU

Academic Research Assistant

Kabarak University

Sep 2022 - Dec 2022 (3 months)

Verified source credibility and citation accuracy across 28 thesis proposals and research essays with first-pass faculty approval. Led error-analysis and workshops to reduce recurring writing mistakes by 30% and increase average departmental essay scores by 22%, maintaining a 98% clean-submission rate.

Education

Degrees, certifications, and relevant coursework

Kabarak University logoKU

Kabarak University

Bachelor of Science, Economics and Finance

Earned a Bachelor of Science in Economics and Finance with coursework in financial statement analysis, macroeconomics/microeconomics, corporate finance, and investment and portfolio management. Completed senior research analyzing the relationship between macroeconomic indicators and equity market performance in East African markets using regression analysis and financial modelling on a ten-year re

Tech stack

Software and tools used professionally

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