Financial Planning Analyst

Description

Be among the first 25 applicants. This role is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$105.00 / hr - $140.00 / hr 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

Quantitative Finance Expert Type

Independent Contractor Compensation

$105–$140 / hour Location

Remote Commitment

10–20 hours / week Role Responsibilities

Generate probabilistic forecasts on financial markets, instruments, and macro indicators. Document quantitative reasoning, models, and relevant assumptions. Analyze historical data and identify signals across asset classes. Calibrate predictions with peers across economics and finance domains. Contribute to the refinement of forecasting methodologies and inputs. Work independently and asynchronously to improve AI prediction systems. Qualifications

Must-Have

Background in quantitative finance, trading, economics, or data science. Experience with financial forecasting, trading strategies, or market modeling. Familiarity with tools like Python, R, or Excel for data analysis and backtesting. Strong written communication and analytical skills. Preferred

Participation in forecasting competitions (e.g., Numerai, QuantConnect). Compensation & Legal

Independent contractor. Application Process (Takes 20–30 mins to complete)

Submit your Mercor profile or resume to get started. Complete a brief form. We’ll follow up within a few days with next steps. Resources & Support

For details about the interview process and platform information, please check : For any help or support, reach out to : PS : Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #J-18808-Ljbffr Industry

Other Category

Finance Sub Category

Risk Management & Quantitative Analysis