Job Description: Quantitative Strategy Development InternBlockhouse's success stems from our groundbreaking approach to quantitative finance, blending sophisticated mathematical models with robust financial strategies to redefine market dynamics. We are seeking a Quantitative Strategy Development Intern to transform informative features into actionable investment algorithms, contributing directly to the design and testing of cutting-edge trading strategies.Key Responsibilities:Strategy Formulation
- Analyze libraries of features derived from diverse asset classes and instruments to identify patterns and relationships.
- Develop and test investment strategies by formulating theories that explain observed features and market phenomena.
- Identify economic mechanisms that create profitable opportunities, such as behavioral biases, asymmetric information, or regulatory constraints.
Algorithm Development
- Translate theories into executable algorithms, ensuring transparency and interpretability (white-box approach).
- Develop prototype code for strategies and prepare it for submission to the backtesting team for validation.
Cross-Asset Research
- Work with data from multiple asset classes, including equities, fixed income, FX, and derivatives, to discover and test cross-asset relationships.
- Synthesize findings from analysts and feature engineers into cohesive strategy frameworks.
Production Deployment
- Deploy machine learning models to production environments, ensuring scalability and robustness.
- Collaborate with engineering teams to integrate strategies into production systems.
Collaborative Ideation
- Collaborate with quantitative researchers, data scientists, and backtesting teams to refine strategies and ensure they meet performance expectations.
Research and Innovation
- Stay informed on the latest advancements in quantitative finance, market microstructure, and algorithmic trading.
Ideal Candidate Profile:Educational Background
- Currently pursuing or having completed a Bachelor's, Master's, or PhD in Financial Engineering, Economics, Mathematics, Computer Science, or a related quantitative field.
- Bachelor's students with strong analytical skills and a keen interest in strategy development are encouraged to apply.
Technical Expertise
- Proficient in Python, with experience developing and testing algorithms.
- Familiarity with machine learning frameworks and quantitative analysis tools.
- Strong knowledge of dynamic programming and the ability to apply it to solve complex optimization problems.
- Experience deploying machine learning models to production environments.
Domain Knowledge
- Strong understanding of financial markets and economic principles.
- Familiarity with multiple asset classes, including equities, fixed income, and derivatives.
Analytical and Problem-Solving Skills
- Ability to critically evaluate features and formulate theories that explain observed patterns in market data.
- Strong problem-solving skills and a meticulous approach to testing hypotheses.
Mathematical Proficiency
- Highly comfortable with advanced mathematical concepts, including optimization techniques, dynamic programming, and statistical analysis.
Communication Skills
- Capable of articulating complex theories and strategies clearly to multidisciplinary teams.
Why You Should Join Us:Innovative Environment
- Work at the forefront of quantitative finance, transforming feature libraries into actionable trading strategies.
Expert Team
- Collaborate with seasoned professionals who excel in data-driven financial innovation.
Professional Growth
- Gain hands-on experience in strategy development, algorithm design, and cross-asset research.
Compensation
- Equity-only compensation that reflects the value of your contributions.
Work Hours
- A part-time role with 20-30 hours per week, offering flexibility and immediate start dates.
For International Students:At Blockhouse, we value talent from across the globe and support international students through e-verification, CPT/OPT documentation, and flexible international payment arrangements.If you're passionate about transforming cutting-edge data into actionable investment strategies and eager to test your quantitative skills in a dynamic environment, join us at Blockhouse and shape the future of finance.