Overview:

Markets and Securities Services (MSS) is the “Investment Bank” for HSBC. Our businesses generate millions of transactions across a range of financial markets.  Our teams design and develop modern systems covering all aspects - trading in the markets, sales and customer tools, handling transactions, data analytics and building financial and regulatory reporting.

You will be working with one of the most cutting-edge languages and timeseries databases, where speed is crucial, and volume is exceptionally large. You can grow to be a developer that can individually handle tasks from gathering requirements, through analysing data, to implementation and testing - having support from senior colleagues along the way.

Our team setup:

• This role is working within the Markets and Securities Services (MSS) division, where technology is central to all aspects of our business – for example electronic trading in the financial markets.
• This eRisk Trading MI (Management Information) team designs and develops a fast real-time, time series database and application processing Terabytes of data per day – translating to over 5 billion records per day - providing services for performing quantitative analysis on vast amounts of financial markets order, trade and pricing data.
• The application’s usage has a broad scope: it is used by front office business quantitative analysts for research and back-testing of trading algorithms, employed for the testing and operation of algorithmic trading systems and used for a wide range of data analytics as well as client, regulatory and internal management information.
• There are increasing demands for services built within the application. The successful candidate will join a team of 5 created in our Krakow office, growing our existing global team, based in Hong Kong and London.
• The team is part of the wider eRisk IT team, which develops pricing, trading, hedging and electronic algorithmic order systems for Global Foreign Exchange (GFX).

What you’ll do:

• Develop software and engineer services which handle billions of records, analyze large datasets and find value in the data.
• Work on the prominent timeseries technology in financial markets.
• Build expertise in a functional programming and query language (KDB+/q) and how this is applied to data engineering.
• Collaborate with and be part of a diverse and global team who focuses on fast delivery and user experience.
• Understand the business context of what we do and engage directly with Traders and Quantitative Analysts as well as other Technologists.

What you need to have to succeed in this role:

• An analytical mind and are excited about problem-solving complex data engineering problems.
• Strong computer science fundamentals or have worked with functional programming languages (e.g. Clojure, Haskell, Scala) or enjoy Python, R.
• A demonstrable passion for technology and automation, optimising and improving solutions.
• Demonstrable interest in understanding Data and how to combine and present it in various ways, dealing with large datasets and some basic statistical concepts.
• Knowledge of or interest in learning about Linux, Server-Client technology, Public Cloud infrastructure (e.g. AWS, Azure, GCP).

Aptitude for understanding requirements and solving problems through proactive and collaborative engagement with teammates and owning a change from inception, to testing and releasing it to the users.