Weekday (YC W21)
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
11 - 50 employees
Founded 2021
☁️ SaaS
🎯 Recruiter
Financial Forecaster – AI Research Project
Job not on LinkedIn
November 3
🇺🇸 United States – Remote
💵 $105 - $140 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🧠 AI Research Scientist
Weekday (YC W21)
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
11 - 50 employees
Founded 2021
☁️ SaaS
🎯 Recruiter
📋 Description
• Produce probabilistic forecasts on financial markets, asset classes, and macroeconomic indicators • Clearly document quantitative models, logic, datasets, and assumptions used in forecasts • Analyze historical datasets to extract signals and validate market hypotheses • Collaborate with peers from economics and finance to align and calibrate predictions • Contribute to improving forecasting structures, scoring systems, and methodology
🎯 Requirements
• Professional background in quantitative finance, trading, economics, portfolio research, or data science • Hands-on experience with financial forecasting, market modeling, or systematic strategies • Proficiency with analytical tools such as Python, R, or Excel for data analysis and backtesting • Experience with forecasting competitions (e.g., Numerai, QuantConnect) is an advantage • Strong analytical thinking and ability to write clear, structured reasoning.
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