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2 дня назад

Finance Expert (AI)

7 200 - 16 000$
Формат работы
remote (Global)
Тип работы
fulltime
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Finance Expert (AI): Providing high-quality annotations, expert evaluations, and detailed risk reasoning for hirify.global's cutting-edge AI systems with an accent on quantitative financial risk management domains. Focus on selecting and rigorously resolving complex risk-related problems like market risk modeling, credit risk, and regulatory frameworks.

Location: Fully remote (global). Candidates based in the US cannot be hired from Wyoming or Illinois. Team members are expected to work 9:00am - 5:30pm PST for the first two weeks of training, and then 9:00am - 5:30pm in their own timezone thereafter. No visa sponsorship provided.

Salary: $7,200–$16,000 per month

Company

hirify.global aims to create AI systems that understand the universe and aid humanity, operating with a small, highly motivated team focused on engineering excellence.

What you will do

  • Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions.
  • Consistently produce high-quality, curated data adhering to strict quantitative and regulatory standards.
  • Collaborate with engineers and researchers to develop and iterate on new training tasks, benchmarks, and evaluation frameworks.
  • Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools.
  • Select and solve challenging problems from financial risk domains (e.g., market risk, credit risk, liquidity risk, operational risk).
  • Deliver rigorous critiques of AI model outputs, alternative approaches, mathematical derivations, and quantitative reasoning traces.

Requirements

  • Master’s or PhD in a quantitative discipline (e.g., Quantitative Finance, Financial Engineering, Statistics, Applied Mathematics, Econometrics, Risk Management) or equivalent professional experience.
  • Excellent written and verbal English communication (C1) for technical reports, regulatory documentation, and explanatory breakdowns.
  • Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&P Capital IQ, RiskMetrics).
  • Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data.
  • Genuine passion for quantitative risk management, financial stability, regulatory frameworks, extreme event modeling, and the application of frontier AI to risk problems.
  • Must work fully remote from an approved location; hiring is unavailable in Wyoming and Illinois for US-based candidates.
  • Must be available to work 9:00am - 5:30pm PST for the first two weeks of training, then 9:00am - 5:30pm in your own timezone thereafter.
  • No visa sponsorship is provided.

Nice to have

  • Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm.
  • Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance.
  • Prior teaching, mentoring, or training experience.
  • Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models) and familiarity with risk systems (Murex, Calypso, Numerix).
  • Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk.
  • Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II).
  • CFA, FRM, PRM, CQF, or similar risk-focused certifications.
  • Previous exposure to large language models, AI safety, or quantitative evaluation pipelines.

Culture & Benefits

  • Small, highly motivated team focused on engineering excellence.
  • Flat organizational structure where all employees are hands-on and contribute directly to the mission.
  • Leadership is earned through initiative and consistent delivery of excellence.
  • Emphasis on strong work ethic, prioritization, and clear communication.
  • Medical benefits vary by country of residence.
  • Support for working from a personal device: Chromebook, Mac (MacOS 11.0+), or Windows 10+.

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