Quantitative Analyst (FinTech / Trading)

Location: Remote, United States
Job Type: Full-Time
Work Arrangement: Remote
Department: Data, Analytics & AI / Financial Analytics
Reports To: Head of Quant Research / CFO / Data Science Lead

Role Overview

We are seeking a highly analytical Quantitative Analyst to develop models, signals, and analytical frameworks for financial forecasting, pricing, risk analysis, and trading-related decision-making. This role will work with financial, market, and time-series data to generate insights, validate strategies, and support data-driven decisions across fintech, treasury, portfolio, or investment-focused use cases.

Key Responsibilities

• Build quantitative models for forecasting, pricing, trading strategies, and risk measurement
• Analyze market, financial, and time-series datasets to identify patterns, signals, and performance drivers
• Develop backtesting frameworks and model validation methods
• Support portfolio, treasury, fintech, or investment analytics initiatives
• Work with engineering and data teams to operationalize models and analytical workflows
• Present model outputs, risks, and performance findings to stakeholders in a clear and business-relevant manner

Required Qualifications

• Degree in Mathematics, Statistics, Finance, Physics, Engineering, or a related field
• Strong Python and SQL skills
• Experience with statistical modeling, time series analysis, and quantitative research
• Strong analytical, mathematical, and problem-solving capability
• Ability to work with complex datasets and convert analysis into decision-ready insights

Preferred Qualifications

• Experience in trading, fintech, portfolio analytics, treasury, or risk analytics
• Familiarity with optimization, Monte Carlo simulation, factor models, or derivatives analytics
• Knowledge of financial data platforms, market structures, and investment workflows
• Experience working with backtesting, forecasting, or pricing models in production or research settings

Core Skills

• Quantitative modeling
• Time series analysis
• Financial forecasting
• Risk analytics
• Trading strategy analysis
• Python
• SQL
• Statistical analysis
• Backtesting
• Financial data interpretation