Financial Engineering Analyst Jr.

2 weeks ago

Toronto Montreal Calgary Vancouver Edmonton Old Toronto Ottawa Mississauga Quebec Winnipeg Halifax Saskatoon Burnaby Hamilton Surrey Victoria London Halton Hills Regina Markham Brampton Vaughan Kelowna Laval Southwestern Ontario R, Canada Mercor Full time

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position AI Tutor – Quantitative Finance Specialist Type Full-time Compensation $90,000–$200,000/year Location Palo Alto, CA (in-office, 5 days per week) or Remote Commitment 40 hours/week Role Responsibilities Use proprietary tools to label, annotate, and evaluate AI-generated financial data. Contribute expert input across quantitative finance topics, including algorithmic trading, derivatives, and portfolio management. Collaborate with technical teams to refine data workflows and annotation systems. Analyze and critique AI-generated financial outputs to improve reasoning and accuracy. Create and evaluate challenging problems in financial modeling, backtesting, and quantitative analysis. Interpret evolving task instructions and apply sound professional judgment. Qualifications Must-Have Master’s or PhD in Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, or Economics with a quantitative focus. Proficiency in both formal and informal English communication. Strong research and analytical skills with experience using financial databases and resources (e.g., Bloomberg, Reuters, SEC filings). Excellent organizational, interpersonal, and critical‑thinking abilities. Independent problem‑solver with attention to precision and detail. Passion for innovation and technology within quantitative finance. Preferred Professional experience as a quantitative trader, researcher, or analyst. Published work in reputable finance or economics journals. Familiarity with Python, R, or machine learning libraries (e.g., QuantLib). Teaching or mentoring experience in finance, statistics, or applied mathematics. Professional certifications such as FRM, CQF, PRM, CAIA, or CFA. Compensation & Legal Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location. For international candidates, compensation ranges are available upon request. Access to medical benefits, subject to your country of residence. Application Process (Takes 20–30 mins to complete) Submit your resume. Complete a 20‑minute introductory interview. Selected candidates will move on to a focused quantitative finance data evaluation exercise. Finalists will participate in a team discussion and review of their expertise. The full process typically concludes within one week. Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #J-18808-Ljbffr

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