What are the responsibilities and job description for the Front Office Developer position at Jain Global?
Job Description
Jain Global LLC seeks a Front Office Developer in New York, NY to design real-time software systems and applications that reduce latency in risk and PnL pipelines. Requires a Bachelor’s degree in any field or equivalent and five (5) years of progressively responsible experience maintaining and developing Python-based trading, risk and PnL systems; analyzing markets including FX rates and futures rates in both one delta and volatility; generating ideas for efficient hedging and trading; delivering financial solutions in AWS or Linux environments; developing macro-quantitative models for hedge funds including machine learning techniques, mean-variance optimization, liquidity and execution analysis; performing front-end coding and development using Panel and Streamlit systems to generate alpha, track PnL and risk, and execute trades in Python; utilizing Bloomberg, including BPipe and BLAAPI to generate alpha; performing data engineering in SQL and NoSQL databases using airflow; modelling trades in FX rates and futures by incorporating volatility; performing developer operations and deployment in Linux Ubuntu environments using Jenkins or GitHub actions; backtesting and forwardtesting portfolios for quantitative research; performing optimization on computationally intensive code including statistical optimizations and backtesting using Numba; developing integrations, regressions, and unit testing using Magic Mock and Mockito; and executing API queries, multithreading codes, and backoff algorithms. Telecommuting and/or working from home may be permissible pursuant to company policies. Salary range: $200,000 - $225,000/year. M-F, 40 hours/week.
Jain Global LLC seeks a Front Office Developer in New York, NY to design real-time software systems and applications that reduce latency in risk and PnL pipelines. Requires a Bachelor’s degree in any field or equivalent and five (5) years of progressively responsible experience maintaining and developing Python-based trading, risk and PnL systems; analyzing markets including FX rates and futures rates in both one delta and volatility; generating ideas for efficient hedging and trading; delivering financial solutions in AWS or Linux environments; developing macro-quantitative models for hedge funds including machine learning techniques, mean-variance optimization, liquidity and execution analysis; performing front-end coding and development using Panel and Streamlit systems to generate alpha, track PnL and risk, and execute trades in Python; utilizing Bloomberg, including BPipe and BLAAPI to generate alpha; performing data engineering in SQL and NoSQL databases using airflow; modelling trades in FX rates and futures by incorporating volatility; performing developer operations and deployment in Linux Ubuntu environments using Jenkins or GitHub actions; backtesting and forwardtesting portfolios for quantitative research; performing optimization on computationally intensive code including statistical optimizations and backtesting using Numba; developing integrations, regressions, and unit testing using Magic Mock and Mockito; and executing API queries, multithreading codes, and backoff algorithms. Telecommuting and/or working from home may be permissible pursuant to company policies. Salary range: $200,000 - $225,000/year. M-F, 40 hours/week.
Salary : $200,000 - $225,000