Lead Software Engineer & Quant Developer, Equities Technology - Prime Services

JPMorgan Chase & Co.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A multinational financial institution in Singapore seeks a Lead Software Engineer in their Corporate and Investment Banking team. This role involves writing high-quality Python code, collaborating with traders, and developing robust technology solutions. The ideal candidate should have over 5 years of software engineering experience, a degree in Computer Science, and strong knowledge of Capital Markets. Preferred skills include experience in quantitative trading and familiarity with KDB/q and FIX protocols.

Qualifications

• 5+ years of applied experience in software engineering concepts.
• In-depth knowledge of Capital Markets and Equity Market Microstructure.
• Strong knowledge of pre-trade analytics and execution algorithms.

Responsibilities

• Write high-quality Python code for front-office Technology Systems.
• Collaborate with Traders and Quantitative Researchers for enhanced trading solutions.
• Develop secure high-quality production code, review and debug code.

Skills

Python

Analytical skills

Quantitative problem-solving

Electronic trading workflows

Education

Bachelor’s Degree in Computer Science or equivalent

Tools

KDB/q

FIX

Kafka

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate and Investment Banking (CIB), Equities Technology - Prime Services team, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Write high-quality Python code for front-office Technology Systems
• Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows
• Create alignment with stakeholders, both technical and non-technical.
• Execute creative software solutions, design, develop, and technical troubleshoot with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develop secure high-quality production code, and review and debug code written by others
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Bachelor’s Degree in Computer Science or equivalent
• In-depth knowledge of Capital Markets and Equity Market Microstructure
• Strong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis
• Advanced proficiency in Python
• Strong analytical, quantitative and problem-solving skills.
• Ability to translate business and quant requirements into scalable target architectures and implementation roadmaps

Preferred qualifications, capabilities, and skills

• Hands on experience in Quantitative Trading and/or Market Analysis
• Familiarity and prior experience on KDB/q will be beneficial
• Knowledge of FIX, Market Data, Order Management Systems will be a strong plus
• Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required
• Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial