Financial Engineering Analyst Associate

<strong>About The Job<br><br></strong><strong>Mercor</strong> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <strong>Benchmark</strong>, <strong>General Catalyst</strong>, <strong>Peter Thiel</strong>, <strong>Adam D'Angelo</strong>, <strong>Larry Summers</strong>, and <strong>Jack Dorsey</strong>.<br><br><strong>Position:</strong> AI Tutor – Quantitative Finance Specialist<br><br><strong>Type:</strong> <strong>Full-time<br><br></strong><strong>Compensation:</strong> <strong>$90,000–$200,000/year<br><br></strong><strong>Location:</strong> <strong>Palo Alto, CA (in-office, 5 days per week) or Remote<br><br></strong><strong>Commitment:</strong> <strong>40 hours/week<br><br></strong><strong>Role Responsibilities<br><br></strong><ul><li>Use proprietary tools to label, annotate, and evaluate AI-generated financial data.</li><li>Contribute expert input across quantitative finance topics, including algorithmic trading, derivatives, and portfolio management.</li><li>Collaborate with technical teams to refine data workflows and annotation systems.</li><li>Analyze and critique AI-generated financial outputs to improve reasoning and accuracy.</li><li>Create and evaluate challenging problems in financial modeling, backtesting, and quantitative analysis.</li><li>Interpret evolving task instructions and apply sound professional judgment.<br><br></li></ul><strong>Qualifications<br><br></strong><strong>Must-Have<br><br></strong><ul><li>Master’s or PhD in Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, or Economics with a quantitative focus.</li><li>Proficiency in both formal and informal English communication.</li><li>Strong research and analytical skills with experience using financial databases and resources (e.g., Bloomberg, Reuters, SEC filings).</li><li>Excellent organizational, interpersonal, and critical-thinking abilities.</li><li>Independent problem-solver with attention to precision and detail.</li><li>Passion for innovation and technology within quantitative finance.<br><br></li></ul><strong>Preferred<br><br></strong><ul><li>Professional experience as a quantitative trader, researcher, or analyst.</li><li>Published work in reputable finance or economics journals.</li><li>Familiarity with Python, R, or machine learning libraries (e.g., QuantLib).</li><li>Teaching or mentoring experience in finance, statistics, or applied mathematics.</li><li>Professional certifications such as FRM, CQF, PRM, CAIA, or CFA.<br><br></li></ul><strong>Compensation & Legal<br><br></strong><ul><li>Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location.</li><li>For international candidates, compensation ranges are available upon request.</li><li>Access to medical benefits, subject to your country of residence.<br><br></li></ul><strong>Application Process (Takes 20–30 mins to complete)<br><br></strong><ul><li>Submit your resume.</li><li>Complete a 20-minute introductory interview.</li><li>Selected candidates will move on to a focused quantitative finance data evaluation exercise.</li><li>Finalists will participate in a team discussion and review of their expertise.</li><li>The full process typically concludes within one week.<br><br></li></ul><strong>Resources & Support<br><br></strong><ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>For any help or support, reach out to: support@mercor.com<br><br></li></ul><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.<br><br></em>,<br><br>

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