The Threat Data Analyst will employ advanced threat data analytics at scale to discover, correlate, identify and mitigate the most harmful threats targeting Admiral. Reporting to the Threat Analytics Lead, you will collaborate with Threat Intelligence analysts, security engineers and SOC analysts to create and iterate analytics pipelines. This will require quantitative or qualitative analysis of large data sets, using machine learning (ML) & AI to discover insights that are not readily apparent to support data-driven decision making.
To succeed in this role, it is expected that the candidate will operate on disparate datasets to collect, model, visualise and communicate the contextual outputs. As a new team we are looking for someone who would demonstrate the willingness to provide ideas and display a “can do attitude” to shape the direction of the team with support of the threat analytics lead.
Responsibilities
- Develop and implement advanced analytic techniques (anomaly detection) to predict and pre-empt cyber threats whilst advancing the use of analytics to drive innovation in the cyber space
- Develop and visualise Key Threat Indicators (KTIs) by building engaging dashboards
- Develop and refine, tools and threat detection models incorporating data analytics and machine learning techniques
- Continuously evaluate data and recommend improved ways of data analysis for ongoing improvement, optimisation and effectiveness
- Keep abreast of new trends and developments in technology and data analytics
- Collaborate and engage effectively with the Threat Intelligence team, other teams across Tech and the wider business where applicable to assess identified anomalies
- Effectively communicate complex analytical findings and insights to mixed audiences, through visualisations, presentations, reports and other means
- Assist in fostering a data-driven culture across cyber security
Essential Experience/Skills
- Minimum of a degree in STEM or another technical field
- Experience with analytics tools: BigQuery, Numpy, Vertex, Jupyter, BI tools: (PowerBI, Looker ect) and respective languages: SQL, Python, R
- Experience working in the collection, normalisation, processing and visualisation of both structured and unstructured data from multiple internal and external sources
- Understanding and interest in data and willingness to innovate
Desirable Skills
- 2 years’ experience in data analytics or associated field with a focus on analysis or similar.
- Experience in a financial services analytical function
- Skilled in threat hunting, behavioural anomaly detection and predictive threat modelling
Salary, Benefits, and Work-Life Balance
We do not have a set salary for this position, as it will be dependent on the successful candidate’s experience. We are happy to see CVs from all candidates who meet the requirements and will be happy to discuss the remuneration package.
At Admiral, we are proud to be a diverse business where we put our people and customers first. We have great benefits to ensure employees have a great work-life balance; it's one of the reasons we’re consistently voted one of the Sunday Times Best Big Companies to work for in the UK. We want you to have an element of freedom to define a working lifestyle that supports this, so accommodate flexible hours wherever possible.
All colleagues will receive 33 days holiday (including banks holidays) when they join us, and this will increase with length of service, up to a maximum of 38 days (including banks holidays). You also have the option to buy or sell up to five days of annual leave in addition to your allocation.
You can also view some of our other key benefits here.
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