Description
As one of the principal players in the world’s financial markets, Citi is involved in conducting millions of trading events every day. We have a responsibility to the financial regulators, our clients and ourselves to identify and prevent fraudulent, malicious or erroneous behavior.
Citi is building a distributed data platform to drive its surveillance functions by acquiring the trading events and enrichment data required for a combination of rule-based and advanced feature-based surveillance algorithms. The volume and variety of data involved in these surveillances and the complexity of the algorithms results in one of most challenging and appropriate use cases for big data technologies.
The Big Data Development Team is rapidly establishing itself in Belfast – the global centre for Citi’s Trade Surveillance software development with the full SDLC from business requirements through to production support.
To aid in the growth and maturity of the team we are looking to bring in a senior developer to help define and drive the team’s technical delivery. Collaborating directly with the Big Data Development lead in Belfast, this is a significant opportunity for an experienced developer or engineer with experience in modern data platforms to move into a role with responsibility for technical decisions and to mentor a growing team.
The team primarily works with the following technologies and languages:
Java
Hadoop (CDH)
Hive
SQL (Oracle, SQL Server, Netezza)
Linux
Maven
Jenkins
You will report into the Big Data Development leader, also located in Belfast.
In this role you will be responsible for:
collaborating with the team leader to define best practice in Java and Hadoop development paradigms including documentation and system monitoring
challenging and helping to direct our technical roadmap and proposing the adoption of new technology or techniques
providing breakdowns of project deliverables and estimates
designing and building data pipelines and Hadoop storage objects
assist in the resolution of production issues when required
mentoring team members
working with data analysts to define logical data structures
encouraging self-learning among the team
Qualifications
To be successful in this senior role you will need to be:
a confident and tenacious data engineer with an authoritative knowledge of Java and Hadoop and/or other distributed data platforms
comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques
able to demonstrate an expertise in identifying and resolving data quality issues – in data sets at rest and in flight
an expert SQL coder and at ease writing Linux shell scripts
experienced with automated build and test processes
a superb written and verbal communicator
highly adaptable and be willing to mentor and train more junior team members
organized and prepared to manage multiple parallel pieces of work
appreciative of a diverse workforce and recognize that differences in style or perspective are one of our organisation’s key strengths
Additionally, the following attributes will be advantageous:
A strong degree in any mathematical subject including physics, mathematics, engineering or computer science
Knowledge of agile development methodologies
Prior work on cloud computing platforms
Hands-on experience with other big data tools such as Oozie, YARN, Spark, SparkSQL, Flume, Sqoop2, Pig, Drill, Kafka, MemSQL, Elastic
Familiar with the financial services industry and/or regulatory environments
Be able to demonstrate an active participation in the big data, analytics or general IT community
Experience in the implementation of machine learning algorithms
Prior experience in working with satellite teams
In return, the role will offer you:
Opportunities to demonstrate leadership ability as you mentor and guide the delivery of junior team members
Hands-on development experience on a production implementation of Hadoop with massive data volumes
Potential to contribute to projects involving complex feature-based data algorithms
Exposure to surveillance functions in a dynamic and challenging industry with regular close collaboration with our surveillance portfolio clients
A team with a win-together/lose-together attitude and strong sense of identity and positive culture
Exceptional candidates who do not meet these criteria may be considered for the role provided they have the necessary skills and experience.
Valuing Diversity:
Demonstrates an appreciation of a diverse workforce. Appreciates differences in style or perspective and uses differences to add value to decisions or actions and organisational success.
To apply, visit CitiBank Career Page
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