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Data Analysis in this area involves extracting, transforming, and analyzing data to identify risks, assess controls, and improve their robustness by implementing automated solutions. This role would suit an individual with both strong technical and business acumen in the Risk and Controls space.
Job Responsibility:
Support the In-Business Quality Assurance Head of Data Analytics to set the global strategy for and lead the implementation and ongoing delivery of a robust Data analytics and testing program for the Quality Assurance function as it relates to Wholesale Credit Risk (WCR) data governance
Provide effective challenge on the design and operation of the data and credit processes within ICM and report any identified gaps and concerns on those through quarterly reports published to ICG senior management
Ability to query and clean complex datasets from multiple sources, to funnel into advanced statistical analysis
Hands-on experience in deriving concrete insight from data and qualifying business impact
Develop processes and tools to monitor and analyse model performance and data accuracy
Collaborate within IBQA teams and with QA Directors and provide them with analytics insights
Provide oversight and guidance over the assessment of complex data related issues, structure potential solutions and drive effective resolution with stakeholders.
Requirements:
Demonstrable experience of at least 6 years of data analytics, in innovation, modelling and analytics, internal audit, or similar functions at an investment or large commercial bank
Good grasp of Wholesale Credit Risk and Counterparty Credit Risk Processes and organizational awareness, to evaluate findings identified through the Quality Assurance process, determine materiality, and partnering with business to drive sustainable remediation
Excellent communication skills with the ability to effectively collaborate with stakeholders at all levels to elicit requirements and priorities
A logical and methodical mindset, strong analytical and problem-solving skills, with the ability to think critically, working with others to propose creative solutions
Leading the delivery of the areas of complex or judgmental QA work, including identifying issues, analysing multiple data points to draw informed conclusions and clearly articulate these conclusions in written and verbal form to senior stakeholders
Good interpersonal communication skills which will be required for both internal and external business partners
Experience in analysing datasets and distilling them into actionable information as well as building out end-to-end analytical process flows
Understanding of process redesign / re-engineering and execution
Strong skills in data analysis tools and programming languages (SQL, Python, R, Power BI, etc.)
Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solution
Experience working and manipulating large set of data
Creating clear and concise reports and visualizations to communicate findings to stakeholders
Bachelor’s or Master’s degree in Maths Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
Nice to have:
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Programming language: Python, Java, C++
Visualization: Tableau
Qlikview
MS Power BI
Data Analysis: SQL
Python
SAS
R, Alteryx, Splunk.
What we offer:
Private Medical Care Program
Life Insurance Program
Pension Plan contribution (PPE Program)
Employee Assistance Program
Paid Parental Leave Program (maternity and paternity leave)
Sport Card
Holidays Allowance
Sport and team recreation activities
Special offers and discounts for employees
Access to an array of learning and development resources
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