Quantitative Researcher (Remote)

Spectrum News; United States; Remote; USD 80,000 - 130,000; Full time

Job summary

An innovative firm is looking for a Quantitative Researcher to leverage advanced statistical models in analyzing financial markets. This role offers the opportunity to develop trading strategies, optimize investment decisions, and work with cutting-edge datasets in a fully remote environment. The ideal candidate will have a strong background in quantitative finance and machine learning, with a passion for problem-solving and independent work. Join a talented team of professionals dedicated to continuous learning and professional development, while enjoying competitive compensation and flexible hours.

Benefits

Fully remote work

Flexible hours

Competitive compensation

Performance bonuses

Access to cutting-edge datasets

Professional development opportunities

Qualifications

• Advanced degree in Quantitative Finance, Mathematics, or related field.
• Strong programming skills in Python, R, C++, or MATLAB.
• Experience with statistical modeling and machine learning techniques.

Responsibilities

• Develop quantitative models for trading strategies and analyze datasets.
• Backtest and optimize trading algorithms using historical data.
• Collaborate with developers to implement models into production.

Skills

Statistical Modeling

Machine Learning

Programming in Python

Time-Series Analysis

Problem-Solving Skills

Education

PhD in Quantitative Finance

MSc in Mathematics

Tools

Pandas

NumPy

SQL

TensorFlow

PyTorch

MATLAB

Job description

1 day ago Be among the first 25 applicants

We are seeking a highly skilled Quantitative Researcher to join our team. In this role, you will leverage advanced statistical and mathematical models to analyze financial markets, develop trading strategies, and optimize investment decisions. The ideal candidate will have a strong background in quantitative finance, machine learning, or algorithmic trading, with the ability to work independently in a remote setting.

Key Responsibilities

• Research and develop quantitative models for trading strategies (e.g., statistical arbitrage, market-making, trend-following).
• Analyze large datasets to identify patterns, correlations, and predictive signals.
• Backtest and optimize trading algorithms using historical and real-time data.
• Collaborate with developers and traders to implement models into production.
• Continuously monitor and refine strategies based on performance metrics.
• Stay updated with the latest advancements in quantitative finance, machine learning, and financial markets.
  
  

Required Qualifications:

• Advanced degree (PhD or MSc) in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field.
• Strong programming skills in Python, R, C++, or MATLAB (Python preferred).
• Experience with statistical modeling, time-series analysis, and machine learning techniques.
• Knowledge of financial markets, derivatives, and trading concepts.
• Familiarity with backtesting frameworks (e.g., Pandas, NumPy, QuantConnect, Backtrader).
• Experience working with large datasets (SQL, TensorFlow, PyTorch is a plus).
• Strong analytical and problem-solving skills.
  
  

Preferred Qualifications:

• Prior experience in hedge funds, prop trading firms, or investment banks.
• Publications in quantitative finance or machine learning.
• Experience with high-frequency trading (HFT) or crypto markets.
  
  

What We Offer:

• Fully remote work with flexible hours.
• Competitive compensation (salary + performance bonuses).
• Opportunity to work with a talented team of quants and engineers.
• Access to cutting-edge datasets and trading infrastructure.
• Continuous learning and professional development opportunities.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Quality Assurance

• Industries

  Broadcast Media Production and Distribution

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