Quantitative Analyst

Start Date: ASAP

Qualification Requirements: Successful completion of a role‑specific written assessment and a background check.

Data Force by Trans Perfect is seeking a Quantitative Financial Analyst with strong experience in systematic investing, derivatives, and risk management to support a Generative AI initiative focused on quantitative finance workflows. This role is ideal for data‑driven professionals who build mathematical models for factor‑based strategies, alpha generation, portfolio construction, back‑testing, and Value at Risk (VaR). You will help translate real‑world quantitative investment processes into structured frameworks that AI systems can execute accurately and rigorously.

• Design and document systematic investment workflows (factor models, back‑testing, portfolio construction, VaR, stress testing).
• Develop evaluation criteria and benchmark solutions to assess AI performance on quantitative finance tasks.
• Review and validate AI‑generated outputs for statistical accuracy, modeling soundness, and risk logic.
• Curate and structure high‑quality financial and market data for model training and testing.
• Provide feedback to improve AI reasoning in derivatives modeling, risk assessment, and alpha generation.

• 3+ years of experience as a Quantitative Analyst, Quantitative Researcher, Risk Manager, Systematic Portfolio Manager, or Derivatives Trader.
• Strong background in statistics, probability, time‑series analysis, and financial modeling.
• Proficiency in Python and experience working with large financial datasets.
• Hands‑on experience with systematic strategies, back‑testing frameworks, derivatives (options, futures, swaps), and risk models (VaR, stress testing).
• High analytical mindset, attention to detail, and ability to clearly explain quantitative reasoning.

Data Force by Trans Perfect is part of the Trans Perfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.

We offer high‑quality data for Human‑Machine Interaction to some of the most prestigious technology companies in the world. Our division focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

To learn more about Data Force please visit us at