Front Office Developer

Jain Global; New York (NY); Hybrid; USD 200,000 - 225,000; Full time

Job summary

Jain Global LLC is seeking a Front Office Developer in New York, NY, to design advanced software systems aimed at minimizing latency in risk and PnL pipelines.

This role requires a minimum of five years' experience with Python-based trading systems, extensive knowledge in assessing FX rates and futures, and the ability to work in AWS environments. A competitive salary range of $200,000 to $225,000 per year is offered, along with potential telecommuting options.

Qualifications

• 5 years of experience in Python-based trading systems.
• Expertise in financial solutions for risk and PnL.
• Experience in data engineering using SQL and NoSQL.

Responsibilities

• Design real-time software systems reducing latency in PnL pipelines.
• Analyze markets including FX and futures rates.
• Develop integrations and backtesting for quantitative research.

Skills

Python-based trading systems

Data engineering in SQL

Machine learning techniques

Financial solutions in AWS

Front-end coding with Panel

Multithreading techniques

Education

Bachelor’s degree or equivalent

Tools

Bloomberg

Airflow

Jenkins

GitHub actions

Job description

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.

Requirements: 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.