The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users
Investigative data analysis, pulling and reconciling data across multiple systems. Analyze and extract relevant information from large amounts of the Client’s historical business data to help automate and optimize key processes. Design, development, and evaluation of highly innovative models for predictive learning. Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation. Building SOPs for gathering data and searching specific systems Regular control monitoring report resolutions Review and analyze potential sanctions hits while maintaining compliance requirements Use individual problem-solving and analytical skills to authenticate customers
0-4 years of Data Science or Data Analytics Experience querying databases and using statistical computer languages: R, Python, SQL, etc. Experience in working with large, disparate datasets and developing data pipelines and collection workflows from various data sources including APIs, structured databases, and monitoring platforms. Experience with data visualization tools (Power BI, Tableau, etc.)
Control Risks offers a competitively positioned compensation and benefits package that is transparent and summarised in the full job offer. We operate a discretionary bonus scheme that incentivizes, and rewards individuals based on company and individual performance Control Risks supports hybrid working arrangements, wherever possible, that emphasize the value of in-person time together - in the office and with our clients - while continuing to support flexible and remote working.