Hybrid Algorithmic Trading Strategist

SMBC Group; New York (NY); Hybrid; USD 127,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

Competitive benefits package

Job summary

SMBC Group is seeking a skilled quantitative professional to design and manage algorithmic trading systems that enhance risk management, market making, and execution efficiency. The role involves developing quantitative finance-based systems for our Electronic Trading Desk and creating front-office tools for instrument management.

Applicants should have a Master’s degree in finance or mathematics and at least two years of relevant experience, with strong Java, Python, and SQL skills and

Qualifications

• Master’s degree in finance, mathematics, mathematics of finance or a related field.
• 2 years of experience.
• Experience in quantitative finance and trading systems is preferred.

Responsibilities

• Design, develop, and manage algorithmic trading systems to enhance risk management, market making and execution efficiency.
• Perform financial quantitative analyses and develop quantitative finance-based systems to enhance the capabilities of our Electronic Trading Desk.
• Develop front office tools to improve the financial instruments used by the Electronic Trading Desk.
• Research and review live financial data and provide traders with consistent and accurate information to develop and execute important and large financial transactions.
• Develop and improve our internal cross-platform communication systems to reduce latency and increase efficiency in communicating time-sensitive and important financial news and information.
• Research and develop pricing models for financial instruments like bonds, swaps, etc.

Skills

Java

Python

SQL

Mathematical Modelling

Data Analytics

Statistical Analysis

Econometrics

Education

Master’s degree in finance / mathematics / related field

Job description

SMBC Group is seeking a skilled quantitative professional to design and manage algorithmic trading systems that enhance risk management, market making, and execution efficiency. The role involves developing quantitative finance-based systems for our Electronic Trading Desk and creating front-office tools for instrument management.

Applicants should have a Master’s degree in finance or mathematics and at least two years of relevant experience, with strong Java, Python, and SQL skills and