Quantitative Researcher - Experienced Hire

Quant Blueprint LLC; Sydney Township (ND); On-site; USD 80,000 - 120,000; Full time

Job summary

Quant Blueprint LLC is seeking a quantitative researcher experienced in financial models and data analysis. The ideal candidate will have a Ph.D. in a relevant field and at least two years of experience in the securities industry.

Strong communication and analytical skills are essential, alongside proficiency in Python. You will join a collaborative environment where analytical insights drive trading strategies.

Qualifications

• Strong understanding of financial models and markets, particularly in financial derivatives.
• Exceptional analytical skills in identifying opportunities in large datasets.
• Strong skills in Python and experience in object-oriented programming.

Skills

Financial models understanding

Communication skills

Analytical skills

Python proficiency

Education

Ph.D. or equivalent in mathematics, physics, statistics, computer science, or electrical engineering

Job description

Overview

Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together.

What we do

We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.

What we’re looking for

• Strong understanding of financial models and markets, particularly in financial derivatives
• Excellent communication skills, and an entrepreneurial and growth-oriented attitude
• Exceptional analytical skills, particularly in identifying opportunities in large datasets
• Strong educational background in mathematics, physics, statistics, computer science, electrical engineering, or a related field (Ph.D. or equivalent will be highly regarded)
• At least two years of professional experience in a relevant quantitative research role in the securities industry
• Strong skills in Python, and experience in object-oriented programming (OOP) is desirable