Senior Deep Learning Engineer

Quant Blueprint LLC; United States; On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Performance-based bonus structure

401(k) match up to 50%

Fully paid health insurance

25 paid vacation days

Extensive office perks including meals and social events

Job summary

Quant Blueprint LLC in the United States is seeking a Graduate Quantitative Researcher to develop and implement algorithmic trading strategies. You will work alongside a research team, applying your knowledge of statistics and analytical skills to construct models that predict market movements.

The role offers comprehensive onboarding and opportunities to tackle complex challenges in financial markets. The ideal candidate should have a PhD in a related STEM field and be ready to commence full-time employment upon graduation in 2025.

Qualifications

• Outstanding academic achievements with a PhD expected by mid-2025.
• Strong foundation in mathematics and statistics.
• Independent research experience in quantitative analysis.

Responsibilities

• Develop trading algorithms using statistical models and machine learning.
• Analyze trading strategies using big data technologies.
• Build models to determine fair value of financial derivatives.

Skills

Research skills

Analytical skills

Statistical modeling

Machine learning

Programming proficiency

Education

PhD in Mathematics, Statistics, Computer Science, Physics, or related field

Job description

Graduate Quantitative Researcher, PhD

As a Graduate Quantitative Researcher, you will develop, refine and implement algorithmic trading strategies that shape the future of electronic trading. Working alongside a research team of mathematicians, scientists and technologists, you will leverage vast data sets to construct complex models to predict market movements. With your expertise in statistics and exceptional analytical and research skills, you will develop innovative solutions that are foundational to Optiver's trading strategies.

Your onboarding

You will participate in Optiver's comprehensive Global Academy and be equipped with the knowledge needed to make an impact the moment you join your team. The comprehensive training covers trading theory and Optiver's tech stack to hone your skills for your role. In addition, you will be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference.

Your responsibilities

• Using statistical models and machine learning to develop trading algorithms.
• Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure and financial instruments to identify trading opportunities.
• Building stochastic models to determine the fair value of financial derivatives.
• Combining quantitative analysis and high-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries.

What you'll get:

You'll join a culture of collaboration and excellence, where you'll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool.
• The opportunity to work alongside best-in-class professionals from over 40 different countries.
• Ownership over initiatives that directly solve business problems.
• 401(k) match up to 50% and fully paid health insurance.
• 25 paid vacation days alongside market holidays.
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more.

Who you are:

• PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements
• Expected graduation date by mid-2025
• Availability to commence full-time employment upon graduation in 2025
• Solid foundation in mathematics, probability, and statistics
• Excellent research, analytical, and modeling skills
• Independent research experience
• Proficiency in any programming language
• Knowledge of machine learning, time-series analysis, pattern recognition, and NLP is a plus
• Strong interest in working in a fast-paced, collaborative environment
• Fluent in English with strong written and verbal communication skills

Optiver is committed to diversity and inclusion.

Optiver is supportive of US immigration sponsorship for this role.