
2 - 10 employees
đ¤ B2B
đź Consulting
B2B ⢠Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functionsâcovering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
đĽ 0 minutes ago
đ˝ New York â Remote
đľ $60 - $85 / hour
â° Full Time
đ Senior
đ¸ Financial Planning and Analysis (FP&A)
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2 - 10 employees
đ¤ B2B
đź Consulting
B2B ⢠Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functionsâcovering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
⢠Guide research and engineering teams on financial analysis, valuation, investment decisions, capital allocation, and corporate finance ⢠Identify gaps in model understanding across financial statements, transactions, markets, forecasting, and strategic decision-making ⢠Apply practical financial judgment to complex scenarios involving companies, investors, transactions, and commercial objectives ⢠Ensure finance tasks reflect realistic professional decisions and established industry practices ⢠Design challenging, domain-relevant tasks grounded in real financial practice ⢠Write accurate, well-reasoned solutions covering investment banking, asset management, corporate finance, and financial advisory scenarios ⢠Develop problems requiring quantitative analysis, commercial judgment, interpretation of financial information, and evaluation of trade-offs ⢠Ensure tasks are clear, internally consistent, and suitable for structured assessment ⢠Evaluate AI-generated finance responses against established rubrics and scoring criteria ⢠Assess correctness, financial judgment, reasoning quality, relevance, and practical applicability ⢠Compare alternative outputs and determine which response provides the stronger financial analysis ⢠Identify calculation errors, unsupported assumptions, weak financial logic, and incomplete conclusions ⢠Provide clear written feedback to support improvements in model behaviour ⢠Develop and refine evaluation guidelines for financial analysis and decision-making tasks ⢠Define scoring criteria covering technical accuracy, professional judgment, reasoning, and conclusion quality ⢠Participate in calibration activities with other finance specialists ⢠Collaborate across teams to maintain consistency and accuracy throughout the training data ⢠Complete onboarding, specialty calibration, task development, and ongoing quality review
⢠US-based; candidates must be based in the United States ⢠At least 8 years of dedicated professional experience in finance ⢠Senior-level expertise in investment banking, asset management, corporate finance, financial advisory, or a related area ⢠Experience working within a recognised financial institution, investment firm, professional-services organisation, or comparable company ⢠Prior hands-on experience evaluating LLM or AI-generated outputs using structured rubrics or scoring criteria ⢠Demonstrable career progression into vice president, director, senior manager, or comparable leadership responsibilities ⢠Strong financial judgment and ability to assess complex analytical and commercial decisions ⢠Excellent written and verbal communication skills ⢠Reliable availability for at least 35 hours per week during weekdays ⢠Prior experience evaluating AI or LLM outputs against structured rubrics is required ⢠Applicants should clearly describe relevant AI evaluation experience in their application ⢠A degree in finance, economics, accounting, business administration, mathematics, or a related field is highly relevant ⢠Graduate-level education in finance, economics, business, or management may be helpful ⢠Equivalent senior professional experience in financial analysis, transactions, or investment management may also be considered ⢠Professional credentials such as CFA, CPA, CA, or comparable qualifications may be valuable ⢠Experience with valuation, financial modelling, mergers and acquisitions, capital markets, or portfolio analysis ⢠Background in transaction advisory, private equity, equity research, strategic finance, or investment management ⢠Experience creating structured scoring rubrics, evaluation guidelines, or quality frameworks ⢠Familiarity with model training, human-feedback workflows, annotation, or AI quality assurance ⢠Strong understanding of financial statements, forecasting, risk, capital structure, and investment analysis ⢠Experience reviewing financial models, investment recommendations, transaction materials, or strategic finance proposals ⢠Previous collaboration with product, analytics, research, engineering, or data-science teams ⢠Immediate availability is preferred
⢠Full-time W-2 contingent employment arrangement ⢠Fully remote work ⢠Competitive hourly compensation ⢠At least 35 hours per week during weekdays ⢠Immediate availability preferred ⢠Flexible project scope and duration according to programme requirements and performance
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