Quantitative Trader & Strategist, Rates – Hybrid

SMBC Group; New York (NY); Hybrid; USD 109,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Competitive benefits

Discretionary incentive

Job summary

SMBC Group in New York, NY, is seeking a Quantitative Researcher / Strategist for Rates Systematic Trading. Join a team researching, developing, and implementing quantitative models and electronic trading strategies.

Requires MS/PhD in a quantitative field, strong Java or OO language skills, and expertise in time-series and statistical methods. Hybrid work arrangement with competitive compensation and benefits.

Qualifications

• Graduate degree in a quantitative discipline (MS/PhD).
• Strong foundation in probability, statistics, optimization, numerical methods, time-series analysis or ML.
• Proficient in Java or another OO programming language.
• Excellent analytical and problem-solving abilities; capable of handling large datasets.
• Strong interest in financial markets and systematic trading; clear communication.

Responsibilities

• Develop quantitative models for pricing, market making, execution, hedging, and risk internalization.
• Analyze market, order book, trade, and internal flow data to identify patterns.
• Research, validate, and implement alpha signals and systematic strategies across Rates.
• Build backtesting, simulation, and performance-analysis frameworks.
• Implement models and trading strategies in Java or another OO language.
• Monitor live strategies, evaluate performance, and identify improvements.
• Collaborate with Quant Traders and Technologists to deliver robust, scalable solutions.
• Maintain documentation of methodologies, assumptions, risks, and model limits.

Skills

Java programming

Quantitative analysis

Time-series analysis

Probability & statistics

Machine learning

Communication skills

Education

MS or PhD in quantitative discipline

Tools

Python

kdb+/q

SQL

Job description

SMBC Group in New York, NY, is seeking a Quantitative Researcher / Strategist for Rates Systematic Trading. Join a team researching, developing, and implementing quantitative models and electronic trading strategies.

Requires MS/PhD in a quantitative field, strong Java or OO language skills, and expertise in time-series and statistical methods. Hybrid work arrangement with competitive compensation and benefits.