Quantitative Analyst II
AffirmFull Time
Mid-level (3 to 4 years)
Candidates must possess a Bachelor's or higher degree in Computer Science, Engineering, Applied Mathematics, or a related technical discipline, with an advanced degree being an asset. They should demonstrate a solid understanding of options, options volatility modeling, and pricing, along with experience in stochastic calculus. Strong programming skills in Python, NumPy, and Pandas are required, as well as knowledge of algorithms, design patterns, OOP, threading, multiprocessing, and experience with distributed systems and large data sets.
The Quantitative Developer will be responsible for options volatility modeling and pricing, implementing new models, working directly with trading desks on feature requests and trade analysis, leveraging quant libraries, and collaborating with cross-functional teams to troubleshoot complex problems. They will also focus on alpha generation, feature generation, working with large data sets, utilizing state space filters and related models, and building high-performance components for simulation and live trading.
Proprietary trading and liquidity provision firm
DV Trading is a proprietary trading firm that engages in trading financial instruments on derivatives and securities exchanges worldwide. The firm uses its own capital and advanced technology to provide liquidity in the markets, employing both quantitative and discretionary trading strategies. Unlike its competitors, DV Trading fosters a collaborative culture with a flat organizational structure, allowing for quick adaptation to market changes. The company's goal is to optimize trading performance and achieve significant returns by leveraging its market relationships.