Quantitative Research Python Developer

The team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies, and infrastructure to value and hedge financial transactions. You will work closely with trading desks, product managers, and technology teams to develop analytical tools and quantitative trading models. Additionally, you will collaborate with different control functions to ensure that business operations comply with established regulatory requirements. There are multiple opportunities available, including roles in derivative quantitative modeling, electronic trading quantitative analysis, risk quantitative analysis, a cross-asset library and infrastructure quantitative analysis, or as a quantitative analyst in the business optimization and automation team. Job Responsibilities - Develop and maintain sophisticated mathematical models to value and hedge financial transactions, ranging from vanilla flow products to complex derivative deals. - Enhance the performance of algorithmic trading strategies and promote advanced electronic solutions to clients globally. - Collaborate with risk functions to develop models for the market and credit risk exposure of the bank across various lines of business. - Build cutting-edge methodologies and infrastructure to implement models in production. Required Qualifications, Capabilities, and Skills - Hold a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields, with strong quantitative, analytical, and problem-solving skills. - Possess a solid background in calculus, linear algebra, probability, and statistics. - Demonstrate proficiency in at least one object-oriented programming language such as C++ or Java, as well as proficiency in Python. - Have knowledge of data structures and algorithms. - Capability to work both independently and as part of a team. - Think strategically and creatively when faced with problems and opportunities. - Excellent communication skills, both verbal and written, to effectively engage and influence partners and stakeholders. Preferred Qualifications, Capabilities, and Skills - Markets experience and familiarity with general trading concepts and terminology is beneficial. - Knowledge of various financial products and asset classes like Fixed Income, Credit, Commodities, and Equities. - Background in computer algorithms, Python, and specialization (or significant coursework) in low-level systems (operating systems, compilers, GPUs, etc.). - Understanding of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be advantageous.,