Surveillance Data Analytics
2 weeks ago
**Surveillance Data Analyst**
**London**
As a Barclays Surveillance Data Analyst, you will have a great opportunity to join our ambitious team where you will manage, assimilate, and analyse a variety of disparate data sources into cohesive, accurate and timely reporting and data analytics outputs. In your new role, you will be using your expertise to provide in-depth analysis with a thorough comprehension of the data to support our Business Units in successfully managing all key components of Global Surveillance (Financial Crime and Market Abuse).
Barclays is one of the world’s largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. We offer careers that provide endless opportunity - helping millions of individuals and businesses thrive, and creating financial and digital solutions that the world now takes for granted.
**Working Flexibly**
business needs.
**Hybrid Working**
Please discuss the detail of the working pattern options for the role with the hiring manager.
**What will you be doing?**:
- Working closely with the stakeholders across Global Surveillance to support the productionising/ operationalising of models, typologies, profiles
- Utilising internal and external data to undertake holistic reviews of high-risk customer segments, industries and financial crime and/ or market abuse typologies
- Undertaking analytic based assessments to validate Global Surveillance’s compliance with key policies, controls and regulations
- Managing the operational output of complex data investigations
- Managing risk-related projects /initiatives to ensure deadlines and requirements are met
- Communicating analytical results and scoring models to stakeholders across the Business
- Managing and overseeing the data lifecycle including access rights, retention, integrity and documentation
**What we’re looking for**:
- Exposure to data analytics with some experience in transforming raw data into meaningful and actionable intelligence
- Appreciation of coding languages with some experience of data analysis and statistical modelling using industry standard tools (ex. SQL/ SAS/ SPSS/ Python/ R)
- Ability to package ideas and communicate analytical results in a logical, understandable and compelling way for both technical and non-technical audiences
**Skills that will help you in the role**:
- Experience in statistical modelling and big data technologies (Hadoop/ Graph Databases)
- Some technical understanding of Market Abuse, Transaction Monitoring, AML, Sanctions and ABC
- Some knowledge of the UK and Global Financial Crime and Market Abuse regulatory framework
- Relevant professional experience and/or qualifications (AML qualifications (ACAMS, ICA))
**Where will you be working?**
In the heart of Canary Wharf, our headquarters at Churchill Place boasts onsite amenities such as a gym, staff restaurant and deli bar, and is easily accessible by tube and bus links. With a population of around 5000 staff the atmosphere is second to none with a real buzz being created around the offices within.
LI-Hybrid
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