Operations Tech Analyst

Susquehanna International Group, LLP; Hong Kong; On-site; HKD 480,000 - 720,000; Full time

Benefits offered by this job

Health insurance

Education allowances

Daily lunch allowance

Job summary

Susquehanna International Group, LLP is seeking an Operations Technology Analyst for the Trading Operations team in Hong Kong. You will bridge business needs with Technology, build applications, and automate processes using Python and SQL.

The role emphasizes lifecycle delivery and AI-enabled architecture within a global trading context. You will rotate across Trading Operations to understand workflows, partner with Engineering, and shape technology solutions that improve efficiency and

Qualifications

• Typically 3–5+ years in software development or tech-enabled operations.
• Bachelor’s degree in a technical field is required.
• Experience taking solutions through the software development lifecycle is desired.

Responsibilities

• Design, build, test and maintain technology solutions for Trading Operations.
• Translate business requirements into technical solutions bridging Operations and Technology.
• Use Python, SQL and related technologies to develop applications and automate processes.
• Contribute to AI-enabled architecture and integrate AI where beneficial.
• Support end-to-end software delivery across the lifecycle and teams.

Skills

Python

SQL

Software development

Object-oriented programming

Data analysis

Education

Bachelor's degree in computer science/engineering/mathematics

Tools

Git

Linux

Job description

Overview

Susquehanna is seeking an Operations Technology Analyst to join our Trading Operations team. This is a technology-led role for someone with strong computer science fundamentals and software development capability who wants to solve complex problems in a global trading environment.

Sitting within Trading Operations, you will act as a bridge between the business and our Technology teams. You will work closely with Operations to understand workflows and requirements, build solutions directly where appropriate, and collaborate with our engineering teams on larger-scale applications, services and platforms.

You will work across the full development lifecycle, from understanding the problem and designing the solution through to development, testing, implementation and ongoing support. As we build new capabilities, you will also help shape solutions where AI is considered as part of the underlying architecture from the outset, rather than added as a separate layer.

Through rotations across Trading Operations, you will gain hands‑on exposure to the full lifecycle of Susquehanna’s trading activity and develop an end‑to‑end understanding of how our desks, Operations teams, technology platforms and external counterparties interact. This is a growth opportunity with significant scope to help shape our Operations Technology capability across APAC.

What you’ll do

• Design, build, test and maintain technology solutions that improve how Trading Operations works.
• Translate operational problems and business requirements into effective technical solutions, acting as the bridge between Trading Operations and Technology teams.
• Use Python, SQL and other appropriate technologies to develop applications, automate processes and improve operational efficiency and controls.
• Help design new solutions where AI can form part of the underlying architecture, identifying where AI-native approaches can fundamentally improve how operational problems are solved.
• Contribute across the full software development lifecycle, applying sound engineering principles around architecture, design, scalability, maintainability, testing and integration.
• Rotate across Trading Operations teams to develop an end‑to‑end understanding of the trade lifecycle and the business processes behind the technology.
• Support Operations projects and day‑to‑day activities, using that hands‑on exposure to identify opportunities for technology-led improvement.
• Contribute to the development of our Operations Technology capability, tools and ways of working as the team grows across APAC.

What we’re looking for

• Experience & education: You will typically bring around 3–5+ years’ experience in software development, technology‑enabled Operations or another relevant technical environment, including experience taking solutions through the software development lifecycle. A bachelor’s degree in computer science, Engineering, Mathematics or a related technical discipline is required. Financial markets or Trading Operations experience is advantageous.
• Passion for Tech: You enjoy building things and applying technology to real problems. You have strong programming capability and practical experience with Python, SQL or other languages and technologies.
• Strong technical foundations: You understand object‑oriented programming, software design principles, databases and testing, and can think beyond the immediate code to how a solution should be architected, integrated and maintained.
• Problem Solver: You enjoy breaking complex problems into logical components, challenging assumptions and working through different approaches to find an effective solution.
• Numerical & Logical: You use data, evidence and sound reasoning when making decisions and are comfortable working through technically and operationally complex problems.
• Communicator: You can explain technical concepts clearly, build strong working relationships and collaborate effectively with both technical and non‑technical teams.
• Ambitious & Curious: You set high standards for yourself, enjoy learning and have a genuine interest in AI and emerging technologies, including how they can influence the fundamental design of new systems and solutions

What’s in it for you

• Greenfield opportunity: Join a growing Operations Technology capability and help shape how solutions are designed, including how AI is built into the architecture of new capabilities.
• Real impact: Build solutions that solve genuine business problems and see the impact of your work across our Operations and trading environment.
• Broad exposure: Develop an end‑to‑end understanding of the trade lifecycle through rotations across Trading Operations while continuing to deepen your technical expertise.
• Education & support: Learn from experienced colleagues across Operations, Trading and Technology, with access to external education allowances and ongoing technical and professional development.
• Culture & ownership: Our flat hierarchy enables you to drive meaningful impact, leverage your expertise and take ownership. The environment is casual, collaborative and focused on continuous development.
• Office & food: Enjoy health insurance offering, a stocked kitchen and a generous daily in‑office lunch allowance.
• Community & benefits: Take part in regular social and community events, alongside matched donations, corporate discounts and employee referral bonuses.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting‑edge technology, we excel in solving complex problems and pushing boundaries together.

What we do

Susquehanna’s deep integration of trading, technology and quant research makes us experts in trading essentially all listed financial products and asset classes, with a focus on derivatives. We handle millions of trading transactions around the world every day as both a market maker and market taker. Our efforts provide liquidity and ensure competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized to allow for a deep understanding of the unique drivers of each asset class.

Equal Opportunity Statement

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonableadjustmentsduring the recruitment process to ensure that you can best demonstrate your abilities.