Quantitative Researcher (Remote)

Job Description

We are seeking a highly analytical and detail-orientedQuantitative Researcherto join our team remotely. As a Quantitative Researcher, you will be responsible for developing and implementing data-driven models to analyze financial markets, optimize trading strategies, and drive business decisions. You will collaborate with cross-functional teams, including data scientists, software engineers, and traders, to extract insights from large datasets and enhance our research capabilities.

Key Responsibilities:

Develop and apply quantitative models for financial markets, risk management, and trading strategies.

Analyze large datasets to identify patterns, trends, and investment opportunities.

Conduct research on statistical methods, machine learning techniques, and algorithmic trading.

Collaborate with engineers to implement models into production systems.

Backtest and validate strategies using historical and real-time data.

Present research findings and insights to stakeholders in a clear and actionable manner.

Stay up-to-date with industry trends, market developments, and emerging technologies.

Qualifications & Skills:

Bachelor\'s, Master\'s, or Ph.D. inMathematics, Statistics, Computer Science, Finance, or a related field.

Strong proficiency inPython, R, or MATLABfor data analysis and model development.

Experience with machine learning, statistical modeling, and time-series analysis.

Familiarity with financial markets, derivatives, and trading strategies.

Ability to work with large datasets and knowledge of database technologies (SQL, NoSQL).

Excellent problem-solving skills and a strong mathematical foundation.

Strong communication skills and the ability to convey complex concepts clearly.

Preferred Qualifications:

Prior experience inquantitative finance, hedge funds, asset management, or trading firms.

Knowledge of programming inC++ or Javafor high-performance computing.

Understanding of portfolio optimization and risk management techniques.

Experience with cloud computing platforms (AWS, Azure, or GCP).

What We Offer:

Fully remote work with flexible hours.

Competitive compensation and performance-based bonuses.

Opportunities for professional growth and continuous learning.

Collaborative and innovative work environment.

Full-time

Hybrid remote