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Lead Quantitative Research Analyst
2 months ago
AGITProp, a pioneering firm in AI-driven quantitative research, is at the forefront of transforming algorithmic trading methodologies.
As the complexity and scale of global financial markets evolve, traditional approaches to quantitative analysis must adapt. At AGITProp, we are harnessing cutting-edge advancements in artificial intelligence and large language models (LLM) to create innovative models that span various modalities. Our ambitious growth trajectory necessitates the recruitment of exceptional talent from both technology and finance sectors.
Role Summary
We are in search of a seasoned and proficient Lead Quantitative Research Analyst to join our dynamic team. This role entails the development, execution, and upkeep of advanced quantitative trading models, strategies, and algorithms. You will collaborate closely with our trading, AI, and engineering divisions to ensure the effective integration of your quantitative frameworks into our trading infrastructure. The ideal candidate will have a robust background in quantitative finance, statistical analysis, and programming, with a proven track record of applying intricate mathematical models to practical financial market situations.
Key Responsibilities
- Design, implement, and sustain sophisticated quantitative trading models, strategies, and algorithms, ensuring alignment with the organization's investment goals.
- Work in partnership with trading and AI teams to embed quantitative models into the trading platform, identifying potential synergies and enhancement opportunities.
- Conduct thorough backtesting and validation of quantitative models to ensure their reliability, precision, and applicability.
- Examine extensive and intricate financial datasets to uncover patterns, trends, and market inefficiencies that can be leveraged through quantitative strategies.
- Continuously assess and optimize the performance of deployed quantitative models, making necessary adjustments to maximize returns while mitigating risks.
- Stay abreast of the latest developments in quantitative finance, machine learning, and related technologies, proactively recommending enhancements and innovations to the team's methodologies and tools.
Qualifications
- Master's or Ph.D. in Quantitative Finance, Financial Engineering, Applied Mathematics, Statistics, or a related discipline.
- A minimum of five years of experience in quantitative finance or a similar capacity, focusing on the development and implementation of quantitative trading models and strategies.
- Proficient in programming languages such as Python, R, or similar, with experience in relevant quantitative finance libraries and frameworks.
- Comprehensive understanding of financial markets, instruments, and risk management principles, along with the unique challenges associated with quantitative trading.
- Strong analytical, problem-solving, and statistical skills, with the capability to develop and apply complex mathematical models to real-world financial scenarios.
- Excellent communication and teamwork abilities, with a proven capacity to collaborate effectively in cross-functional teams.
At AGITProp, we value diversity and believe that it enhances the power of AI, just as it enriches the teams that create it. We are dedicated to fostering an inclusive environment where individuals from all backgrounds can thrive. A diverse workforce leads to broader perspectives, more innovative solutions, and ultimately, superior outcomes.
If you are interested in this opportunity, we encourage you to submit your resume, a brief cover letter, and any relevant publications or research work that may be of interest.
For those who may not find this role to be the perfect fit but believe they can contribute value, we invite you to explore other relevant positions within the company. We have multiple openings and are eager to connect with individuals who possess a background in quantitative finance and AI.
