Software Engineer
LSEGAbout the role
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.
The application development team creates the systems that deliver the service to Quantile’s clients. The team’s responsibility is to design and build systems that permit financial market participants to securely provide risk and trade data to Quantile, to deliver that data into the quantitative algorithms developed by the Strats, and to return the output of those libraries safely back to the participants in a timely manner. In addition, the systems provides analytics and feedback to Quantile’s products team and our clients to help them to understand the results as well as how they can modify their parameters and data to gain improvements in the future. The backend is written in python and makes use of several AWS services, whereas the front end is html/javascript (react). We also have smaller amounts of C++, java, scala. Data is stored in combination of RDS (postgres), Redshift and S3. We are looking for a junior / mid level full stack developer to work on portal development, back-end business logic and data analytics.
Examples of recent projects include:
Addition of new services for optimisation of counterparty risk to client portal
Addition of client analytics to portal to understand historical changes in SIMM
Automation of pricing and risk checks of client data
Tools for publishing marketing materials and news to clients on portal
Optimisation of post-optimisation reporting to improve completion time of compression services
Responsibilities:
Working both individually and as part of a larger team to deliver high quality software solutions
Building APIs for scenario generation calling into quant libraries
Building unit tests and promoting continuous improvement throughout every stage of development
Ongoing maintenance and support of components
Ongoing evaluation and improvement of component effectiveness
Validation of client data
Automation of processes where necessary and appropriate
Generation of formatted reports and files to be sent to clients and 3rd party APIs
Improving and adding to component documentation
Persist the data and build tools, dashboards and analytics to perform data analytics
Essential:
2-5 years professional experience as a Python Developer, working on data intensive numerical applications (E.g. Using Numpy, Pandas) Experience with the all stages of the software development lifecycle from product design, technical design, coding, testing, documentation, release into production and ongoing maintenance
Strong understanding of "good design" (eg SOLID design principles) pythonic code style and different design paradigms (eg OO, Functional, Imperative)
Experience working with AWS python SDK
Excellent problem-solving and communication skills. We work in partnership with product team to collaboratively
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