Data Tuning Analyst

Data Tuning Analyst – £700-£800/day – Inside IR35 – Hybrid Working – Central London Based Office – 6 month Contract

One of Salt’s key clients are currently looking for a Data Tuning Analyst to join their fast paced startup. The company is a corporate venture operating in the regulatory technology space. Its vision is to materially improve effectiveness and efficiency of non-financial crime compliance for cross-border and domestic payments and reduce the overall level of friction in the global payment system. The company is developing a set of API-based services that financial institutions will connect to allowing them to decommission their in-house legacy systems.

Experience of working in a fast-paced startup would be advantageous. Ideally within the Financial Applications industry, but experience in any startup will be desirable.

What you’ll do:

• Apply data analytic tools and techniques to identify changes to optimise relevant screening systems
• Build a good understanding of the screening solution and identify tuning rules to reduce false positives generated from the screening system
• Build a good understanding of the auto-decision solution and build a process to validate and manage rules within the auto-decision solution
• Supporting the Analytics Lead in defining a tuning framework to reduce false positives within the screening process
• Conduct data analysis by leveraging historical data to identify ways to improve screening output
• Supporting the Analytics Lead in designing and implementing a repeatable framework for tuning, testing and measurement of anomalies
• Review and assess existing system and controls relevant to screening to ascertain operational performance and effectiveness measures
• Support with the alignment of systems to model risk management processes and standards

Data Tuning Analyst essential experience:

• Minimum 5 years’ experience in a data analytic / risk analytics / Data Tuning Analyst role
• Ability to analyse information (identify trends, patterns / anomalies) and present a summary of results
• Experience in statistical modelling, and analysis using techniques such as regression analysis, multivariate analysis, factor analysis, and clustering
• Proficiency in R and/or Python programming
• Proficiency in SQL scripting and SQL databases
• Experience working with XML data structures and JSON data formats
• Experience of using Teams, Jira, Confluence, Excel, and PowerPoint
• Strong analytical and problem-solving expertise
• Experience with HiveQL, Spark
• Experience of PACS.008 / IS020022 transaction types and MT message types
• Experience of working on a complex platform software delivery
• Exposure and experience to sanctions screening systems and analytics related to screening
• Experience of working with a distributed team
• Fluent in written and spoken business English

If you are interested in the above role, please apply using the link or email your updated CV to apendlington@welovesalt.com and I’ll give you a call.