Applied Economics & Finance Benchmark Specialist

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Applied Economics & Finance Benchmark Specialist based in India. This is an expert-level opportunity for economists and finance professionals who want to apply their knowledge to the development of advanced AI systems. You will create and evaluate rigorous academic assessment content across specialized economics and finance domains. Your work will help establish high-quality benchmarks designed to test deep reasoning rather than surface-level knowledge. You may focus on authoring original questions or verifying existing assessments for accuracy, clarity, and academic rigor. The role offers exposure to cutting-edge AI research while allowing you to work independently and asynchronously. It is particularly suited to researchers and practitioners who enjoy translating complex concepts into precise, challenging problems. Your subject-matter expertise will directly contribute to improving the capabilities and reliability of next-generation AI models. Author original, challenging multiple-choice questions across areas such as algorithmic trading and market microstructure, macroprudential policy, behavioral finance and experimental economics, urban economics, tokenomics, and decentralized finance. Design questions that assess deep conceptual understanding and advanced reasoning rather than simple factual recall. Ensure every assessment is self-contained, unambiguous, precisely defined, and includes all information necessary for a candidate to solve the problem. Assign an appropriate difficulty level to each question: Medium for introductory undergraduate content, Hard for advanced undergraduate content, or Expert for postgraduate-level and above material. Develop one correct answer alongside nine plausible but subtly incorrect alternatives capable of challenging highly knowledgeable solvers. Provide clear, structured step-by-step solutions in Markdown, explaining the reasoning and intermediate steps required to reach the correct answer. Support each question with 1–5 reputable academic references, including peer-reviewed research, university publications, or other authoritative sources. Review and verify pre-written questions for factual accuracy, clarity, completeness, precision, and solvability, making and documenting edits where necessary. Apply strong academic judgment to ensure benchmark content meets rigorous standards and provides meaningful evaluation of AI capabilities. Requirements: PhD or doctoral candidacy in Economics, Finance, or a closely related discipline is strongly preferred. A Master’s degree may be considered for candidates with exceptional expertise in a relevant economics or finance specialization. Strong command of graduate-level economic theory, quantitative methods, financial modeling, and analytical reasoning. Demonstrated expertise in one or more relevant domains, such as financial markets, macroeconomics, behavioral economics, urban economics, algorithmic trading, or decentralized finance. Academic research experience is highly valuable; CFA, CPA, or relevant professional finance experience is also a strong advantage. Excellent written English, with the ability to communicate sophisticated technical and academic concepts accurately, clearly, and concisely. Strong attention to detail and a rigorous approach to fact-checking, logical consistency, and problem formulation. Ability to distinguish between genuinely challenging questions and questions that are merely ambiguous or unnecessarily complex. Comfortable working independently on structured, asynchronous assignments while consistently meeting quality and delivery expectations. Candidates must be able to work as independent contractors and should note that H1-B and STEM OPT sponsorship is not currently supported. Benefits: Fully remote and asynchronous working environment. Flexible schedule with an expected commitment of 10+