Responsible for performing statistical analysis to monitor financial risk of financial positions, verify risk models, and value and structure trade transactions. To achieve this duty, the Trader will enter specific market data into Akuna's proprietary trading system, review risk controls, create algorithms to set trading opportunities, and examine data fluctuations throughout market hours. Akuna is constantly updating its market strategies, and we expect the Trader to analyze reasons behind such adaptations, which usually are based on quantitative data. Apply theoretical knowledge of finance and mathematical models to carry out this aspect of the job. Further, this responsibility is sophisticated as it requires the ability to understand Akuna's current proprietary systems, the ability to analyze large sets of financial data, apply specific knowledge with respect to financial trading, the ability to understand software systems, and implement coding technology to achieve successful trade execution. Required to evaluate, develop and implement mathematical models and strategies to be used for trading transactions, as well as structure, model and price various financial products, and develop multi-factor derivatives models to be executed during trading. Again, this duty requires the ability to read and understand financial data related to market activity, and the ability to statistical formulations to structure, model and price derivatives according to Akuna's trading strategies. Required to use this information to create trading algorithms and execute trades that have been verified by their mentor. A large portion of the role is related to research and analysis, and the Trader will be required to spend time researching financial models, using analytical and numerical techniques to calibrate models, while applying a deep understanding of stochastic processes, VAR (value-at-risk) analysis, stress/scenario testing methodologies, and derivatives pricing and hedging to execute optimum positions. Telecommuting is permitted, but applicants must live within a reasonable commuting distance.
Must have a Bachelor's degree in Engineering, Economics, Mathematics, Computer Science, Actuarial Science, or related field and one year of experience involving: Statistical Analysis, numerical linear algebra, machine learning or convex optimization; Expertise in data analysis and metric interpreting; Python coding; Knowledge of market fundamentals, on both a macro and micro level; Financial Derivatives (Options) theoretical knowledge, understanding, implementing, and adapting a Black-Scholes pricing model to live financial markets; and Derivatives Risk management.
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To apply send resume to email@example.com. Must reference job 21074.96.6