Quantitative Developer - Systematic Trading, Rates, Associate

Sumitomo Mitsui Banking Corporation•New York, NY

5d•$109,000 - $180,000•Hybrid

About The Position

The Quantitative Developer will join the Rates Systematic Trading team to develop quantitative trading algorithms, analytics, and high-performance systems. The role combines quantitative analysis, market microstructure, and software engineering across order execution, event-driven trading, simulation, and real-time monitoring. The Quantitative Developer will work closely with Quantitative Researchers and Traders to translate models and trading ideas into robust, low-latency production solutions.

Requirements

Graduate degree, such as an MS or PhD, in Computer Science, Mathematics, Physics, Statistics, Engineering, Financial Engineering, or another quantitative discipline.
Strong foundation in probability, statistics, numerical methods, optimization, or machine learning.
Strong computer science fundamentals, including algorithms, data structures, object-oriented design, concurrency, memory management, and systems architecture.
Strong programming skills in Java or another object-oriented language.
Ability to translate quantitative models and market behavior into efficient algorithms and reliable production systems.
Strong quantitative, analytical, and problem-solving skills.
Familiarity with electronic trading, market microstructure, and event-driven architecture.
Strong communication skills and the ability to work effectively with Researchers, Traders, and Technologists.

Nice To Haves

Experience with execution algorithms, event-driven strategies, transaction-cost analysis, or quantitative trading models.
Experience developing high-frequency, low-latency, or real-time trading systems.
Knowledge of Rates and fixed-income products, including government bonds, futures, interest-rate swaps, or related derivatives.
Experience with simulation, backtesting, market replay, or performance attribution.
Experience with multithreading, concurrency, memory optimization, networking, and performance tuning.
Familiarity with ZeroMQ, Aeron, Protocol Buffers, SBE, or comparable technologies.
Familiarity with Rates and fixed-income products.
Experience with Java, C++, Python, KDB+/Q, SQL, or related programming languages.
Experience using AI-enabled tools across quantitative research and engineering workflows.

Responsibilities

Develop quantitative execution algorithms, event-driven strategies, and trading analytics.
Analyze market, order book, trade, and execution data to improve trading performance.
Build models for liquidity, fill probability, transaction costs, market impact, and execution quality.
Translate quantitative models and trading hypotheses into reliable production implementations.
Develop simulation, backtesting, market replay, and performance-attribution frameworks.
Build low-latency, event-driven systems for market data, pricing, signal generation, and order execution.
Monitor live algorithms and improve their performance, resilience, and efficiency.
Design scalable, multithreaded, and memory-efficient software architectures.
Collaborate with Quantitative Researchers, Traders, and Technologists throughout the research-to-production lifecycle.