At IMC, technology is not a department; it’s at the heart of everything we do. Developed in house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition.

IMC’s Sydney based Engineering teams work on a wide variety of applications, tools and functionalities, including trading algorithm implementations, option pricing, calculating volatility, simulation frameworks, market risk applications, trade reconciliation applications and data analysis & visualization tools for traders. We frequently need to develop not just the business applications themselves, but also the tools that keep our development process at the cutting edge. We are currently looking to expand our software engineering teams across our Strategy, Research tooling and Backbone teams.

The Strategy Developers work alongside our Sydney-based options research and trading teams in designing and implementing systematic trading strategies. You will be responsible for engineering efforts in a Python-based ecosystem that empowers our researchers and traders to develop strategies from initial prototypes to production. In this role, you will also be involved in the tactical development of front-office trading, analysis, and visualization tools.

The Backbone Developers create scalable business critical applications and tools to automate tasks supporting IMC’s Sydney Mid-Office and Risk Management departments. They gather requirements and feedback from a range of internal stakeholders in order to implement creative automation solutions via innovative coding practices.

The Research Tooling Developers collaborates closely with APAC Quant Research and other engineering teams to build and enhance tools that drive cutting-edge quantitative research. Our systems empower researchers to run large-scale computations on distributed clusters, enabling the exploration of new trading strategies, model training, and back testing.

Your Core Responsibilities: 

• Develop, test, deploy, and maintain high-performance Python applications.
• Work closely with traders, researchers, quants, and fellow engineers to build scalable and reliable software solutions.
• Take ownership of end-to-end development, from requirements gathering to production deployment.
• Implement automation and optimization projects to enhance trading and research workflows.
• Apply advanced automated testing practices and leverage daily deployments to achieve agile and incremental benefits.
• Balance trade-offs between latency, throughput, simplicity, scalability, and maintainability in a complex technology landscape.

Your Skills and Experience: 

• 5+ years of professional software engineering experience, with a strong focus on Python.
• Experience working with numerical computing and data processing frameworks such as Pandas, NumPy, SciPy, Celery, Dask, or Spark.
• Strong problem-solving skills and the ability to proactively tackle technical challenges.
• Experience with automated testing and CI/CD pipelines.
• Familiarity with Docker, Kubernetes, and Linux environments.
• Exposure to distributed computing and modern cloud-based data processing technologies.
• Strong communication skills and the ability to work with cross-functional teams including traders, researchers, and other engineers.
• Prior knowledge of financial markets or trading is not required, but curiosity and a willingness to learn are essential.

#LI-DNI

At The Trade Desk, we build technology that’s reshaping the future of digital advertising — with a mission to make the open internet better for everyone through principled, intelligent advertising.  

Handling over 1 trillion queries per day, our platform operates 24/7, across continents and data centers, processing petabytes of data to deliver meaningful insights and measurable outcomes.

Our engineers are true end-to-end owners — designing, building, and delivering high-impact, data-driven systems that power decisions for advertisers globally. We thrive in an environment built on trust, empathy, collaboration, and shared ownership, where everyone has the autonomy to make meaningful impact.

We believe great systems are built by teams that trust each other, value craftsmanship, and take ownership of what they create. 

ABOUT THE ROLE: 
 

The Measurement Upper Funnel engineering team is based in APAC, with members in Hong Kong, Shanghai, and Sydney. Our Product Manager is based in West Coast, and we have a 30 mins virtual standup every morning to sync up. We are a distributed team by design and rely heavily on technology such as asynchronous messaging and video conferencing to stay informed and connected.

We have a highly productive technology team that enjoy a collaborative work environment that has involvement in end-to-end delivery of scalable technology solutions. We have a mindset of build it, ship it, own it.  Our teams are empowered to use the best tools and technologies for the job. We have a multi-cloud environment and we are going towards the microservices architecture. 

We develop our client facing products utilising .Net/.Net Core, Javascript (React), gRPC, REST API’s, Docker containers and Kubernetes.  We developed our big data processing backend utilizing Apache Spark and Flink.

• As end-to-end owners, our engineers actively participate in every stage of product development — from design and implementation to deployment and monitoring — delivering real impact for our clients. We work across a broad and evolving technology landscape, including Docker, Kubernetes, Terraform, GitLab, Bamboo, SonarQube, AWS, Azure, Aliyun, Databricks, and databases such as SQL Server, Vertica, and ClickHouse.
• We continuously explore new technologies and AI-powered tools that make us smarter and more efficient, embracing pragmatic innovation as our projects evolve.
• Quality is core to everything we build. We emphasize code reviews, automated testing, robust deployment pipelines, metrics, and continuous monitoring to ensure reliability and maintainability at scale.
• Our engineers also make an impact beyond code — through mentorship, teaching, leading by example, and participating in hiring and community building — helping shape a team culture grounded in trust, learning, and excellence. 

Who We Are Looking For: 

Skills and experience 

• Proven skills and interest in programming (C#, Java, or equivalent)
• Proven skills in SQL to query data from databases.
• Understanding of designing web-based and microservices architecture
• Understanding of Agile development methodology and development practices
• Experience in cloud-based platform experience (AWS, Azure or Aliyun)
• Understanding of database technologies such as row-based vs column-based RDBMS, Document, Key-Value.
• Understanding of data analytics tools and frameworks such as Apache Spark or Databricks, and familiarity with Python-based data analysis (e.g. NumPy or Pandas) is preferred.
    

Key Attributes 

• What and how you can contribute is what's important to us. Our consideration is not limited by the kind of education you have or the specific technologies you have experience with. Variety of technical challenge is one of the best things about working at The Trade Desk as an engineer, but we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and solve complex problems using the best tools for the job. 
• You are a creative thinker, not bound by "the way things have always been done". You can distill facts and insights to guide your work, and turn data into actionable decisions. What you know is less important than how well you learn and innovate. We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked.  
   

What we Offer: 
 

You will also get the opportunity, depending on your interests and aptitude, to work on large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, and interactive user interfaces. 

There are a ton of reasons why TTD is a great company to work for, but here are the top 6 that we think you'll find most interesting: 

• We are a globally collaborative environment. You will have the opportunity to work with brilliant & diverse teams from all over the world  
• We celebrate continuous learning at TTD – here you will have opportunities to be sponsored for further education, certifications and we also have an in-house learning platform to support your further development 
• Our culture - We have a wonderful team of brilliant high achievers built on a culture of empathy, grit, collaboration, & ownership. We are an award-winning company – we have won ‘Great Place to Work’ awards across Australia, US, UK, Europe and Asia! 

• We offer an attractive compensation package, a flexible work environment, and beautiful offices with all the perks you’d expect — from snacks and catered lunches to wine and beer. You’ll also enjoy competitive equity and an employee stock purchase plan. We promote an environment of reward and recognition – At TTD, you will be recognised for your efforts and for each anniversary at TTD, we will celebrate you, and reward you for your contribution! 
• We promote an inclusive and diverse environment – we have many events and activities that truly make TTD a ‘Great Place to Work’ and promote inclusivity and diversity across our organisation. 

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.

About the Role:

Our Software Engineer internship is an intensive 10-week experience at Jump Trading's Sydney (or Singapore) office. You will be working with the team that helps the business make sense of data. You will get to sharpen your Python skills, through the mentorship provided by our Software Engineers, by researching, analyzing and building high-impact solutions and products that connect data better with the daily trading environment. At Jump, you will experience a healthy work-life balance, a casual environment, and a flat management structure. Our internship program is the primary way we identify top young talent, and it’s a proven path for earning full-time opportunities at Jump.

What you’ll do:

• You will be working with our experienced engineers and receive ongoing feedback and coaching from a dedicated mentor throughout the summer.
• You will use your Python programming skills to build high-impact products, helping Jump tackle exciting new initiatives and streamline every part of the trade cycle.
• You will also be part of the team that collects and analyzes datasets, to identify patterns and gain insights, to discover new and creative opportunities and solutions.
• You will take on projects working on production code and gain experience with our full-cycle process for development, testing, and release.
• Other duties as assigned or needed

Skills You’ll need:

• Strong academic foundation with a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a closely-related field
• Experience in using Python programming to investigate, make sense of, and improve on open-ended scenarios.
• Exposure to tools such as Pandas, NumPy, PyCharm
• Experience working with Linux/UNIX OS including advanced commands and shell scripts
• Understanding of networking concepts such as routing, multicast, ethernet
• Curiosity for all things trading and computer related, taking a rigorous, detail-oriented approach in all that you do.
• Desire to make an impact in a collaborative, cross-team environment with a positive can-do attitude
• Ability to operate independently and communicate clearly in the fast-paced environment of a daily live-trading operation
• Reliable and predictable availability

Also helpful, but not required:

• Past internship or job experience in a software engineering role

* No finance or economics study or work experience required