Data Analyst in Core Banking Domain & Risk Management

Job Description

We have an urgent requirement for Data Analyst in Core Banking Domain & Risk Management experience for our banking client based in UAE(PWFH)

Core Banking domains knowledge covering, Customer, KYC, Trade, Payments, loans deposits etc–Must

Risk Management Experience On BASEL, IFRS9, Risk Framework —Must

Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python—Must

Knowledge of data visualization software like Qlik, Power BI–Must

data processing platforms like Hadoop and Apache Spark, Hadoop open-source data analytics—Must

Job Purpose

Core Banking domains knowledge covering, Customer, KYC, Trade, Payments, loans deposits etc.
Risk Management experience on BASEL, IFRS9, Risk framework etc.
Strong mathematical skills to help collect, measure, organize and analyze data.
Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python
Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
Experience in handling reporting packages like Business Objects, programming (JavaScript, XML, or ETL frameworks), databases
Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysis.
Adept at using data processing platforms like Hadoop and Apache Spark, Hadoop open-source data analytics
Capacity to develop and document procedures and workflows.
Ability to carry out data quality control, validation, and linkage.
Ability to produce clear graphical representations and data visualizations.
Managing and designing the reporting environment, including data sources, security, and metadata
Providing technical expertise in data storage structures, data mining, and data cleansing.
Knowledge of data visualization software like Qlik, Power BI
Problem-solving & team working skills.
Accuracy and attention to detail
Adept at queries, writing reports, and making presentations.
Proven working experience in data analysis.

Pre-requisites

Bachelor’s degree from an accredited university or college in computer science.
Work experience as a data analyst or in a related field.
Ability to work with stakeholders to assess potential risks.
Ability to analyze existing tools and databases and provide software solution recommendations.
Ability to translate business requirements into non-technical, lay terms.
High-level experience in methodologies and processes for managing large-scale databases.
Demonstrated experience in handling large data sets and relational databases.
Understanding of addressing and metadata standards.
High-level written and verbal communication skills.

Skills: sql,etl frameworks,javascript,data quality control,excel,oracle,core banking,databases,risk management,python,xml,basel,r,apache spark,spss,matlab,hadoop,data,business objects,power bi,sas,ifrs9,core banking knowledge,data visualization,qlik