indeed

Data Analyst

ORX UK Ltd

Bath, GBR

Full-time

Onsite

Discovered 2 days ago

Data analysisData interpretationReporting and portfolio commentaryRData quality testingQualitative and quantitative analysis

Full Job Posting

ORX is an operational and non-financial risk association serving financial services firms and risk professionals globally.

Its work includes sharing operational risk loss data, research, collaboration opportunities, and standards and references.

Analyse ORX’s global operational risk datasets to generate useful analysis, reporting and insight for members.

Help ensure the data supporting analysis is accurate, reliable and high quality.

Summarise test results, explain trends, and prepare reports and portfolio commentary for publication.
Present findings to key and senior stakeholders.
Test submissions against industry standards, review qualitative descriptions, investigate data points and trends, and raise or escalate queries.
Develop and maintain R-based quality assurance tests under established governance.
Support research projects, ad hoc data requests, and the design and testing of new reports.
Meet deadlines, protect data anonymity and confidentiality, and help improve processes.

A degree or equivalent qualification and/or evidenced relevant experience.
Demonstrable experience in data analysis, interpretation and reporting, plus some experience using R for analysis.
Accuracy, attention to detail and discretion with confidential material.
Effective communication, numeracy and IT skills; proactive, organised, reliable and trustworthy approach.
Ability to work independently and collaboratively, prioritise competing tasks, work under pressure and meet strict deadlines.

Confidence working with qualitative and quantitative information and experience with large datasets.
Interest in or knowledge of financial services and risk management.
Experience implementing efficiency improvements; some experience with Excel, SQL or another coding language.
Confidence using AI and agents to create work efficiencies.

The team meets in person when necessary.
During the first three months, employees are asked to work from the office at least two days per week.
After the first three months, the arrangement allows flexibility while requiring at least 15 office days per quarter.

The successful candidate must make specific commitments regarding highly confidential data and will be subject to background checks.

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