Quantitative Developer - Systematic Trading, Rates, Associate

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

Benefits offered by this job

Hybrid work model

Job summary

SMBC is seeking a Quantitative Developer in New York to join the Rates Systematic Trading team. You will develop quantitative execution algorithms, analytics, and high-performance systems, translating models into production implementations.

The role requires a strong background in quantitative disciplines and software engineering, with collaboration across researchers, traders, and technologists to deliver end-to-end trading solutions.

Qualifications

• Graduate degree such as MS or PhD in a quantitative discipline.
• Strong foundation in probability, statistics, numerical methods, optimization, or machine learning.
• Strong CS 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.

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.
• Collaborate with Quantitative Researchers, Traders, and Technologists throughout the research-to-production lifecycle.

Skills

Concurrency

Algorithms

Java

ML basics

Communication skills

Education

MS/PhD in quantitative field

Tools

ZeroMQ

Aeron

Protocol Buffers

SBE

KDB+/Q

SQL

Python

C++

Job description

Job Level: Associate

Location: New York, NY, US, 10172

Employment Type: Full Time

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG’s shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization’s extensive global network. The Group’s operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

The anticipated salary range for this role is between $109,000.00 and $180,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.

Role Description

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.

Role Objectives:

• 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.

Team and Development Opportunities

• Direct collaboration: Work closely with Quantitative Researchers and Traders.


• Broad exposure: Build expertise in Rates markets, electronic trading, and live trading systems.


• End-to-end ownership: Contribute from research and simulation through deployment and monitoring.


• Balanced development: Strengthen both quantitative and software-engineering skills.


• Experienced support: Learn alongside experienced team members while taking on increasing responsibility

Qualifications and Skills

• 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.

Preferred Qualifications

• Experience with execution algorithms, event-driven strategies, transaction-cost analysis, or quantitative trading models.


• 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.

SMBC’s employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at [e-mail].