Senior Associate Model Implementation & Data Management
Posted on :
19-07-2025
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1 Vacancy
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Job Description
Description
Job Title:Senior Associate Model Implementation & Data Management
Location: Abu Dhabi
Role Purpose:
- The role requires very strong technical and communication skills.
- Manage risk data including data capturing organizing storing and analyzing for development validation and implementation of Risk Rating Models and Scorecards.
- Conduct risk analytics and generate comprehensive risk reports.
- Provide advanced quantitative analytics support to the overall Risk Management function.
- Formulating management techniques for quality data collection to ensure adequacy accuracy and legitimacy of data.
- Engaging in Risk Architecture projects include implementation of various risk IT applications data analytics data flows standards and processes.
- Strong knowledge of Information Technology systems Risk Management systems tools applications and relational database management system. Software development and ability to code.
- Develop and implement AI analytics to analyze risk data. Use machine learning techniques to identify patterns trends and potential risks including exploration data analysis and data quality and trend assessment
- Design data tracking and monitoring tools. Analyze and validate data ensuring data security.
- Ensure all data management and AI analytics practices comply with relevant regulations and organizational policies
Key accountabilities / responsibilities:
- Manage and maintain data for risk models implementation and scorecards development.
- Oversee Credit Risk management processes including Basel II and IFRS9 compliance.
- Conduct risk analytics and generate comprehensive risk reports.
- Utilize statistical tools such as SAS R and Python for data analysis and model development.
- Write advanced SQL queries to extract manipulate and analyze data.
- Develop and implement data science machine learning and artificial intelligence solutions to enhance risk management processes.
- Apply techniques such as generative AI classification regression clustering and other related methods.
- Collaborate with cross-functional teams to ensure data integrity and accuracy.
- Communicate findings and insights effectively to stakeholders.
- Foster a collaborative and team-oriented work environment.
- Stay updated with industry trends and advancements in AI and data analytics.
- Continuously seeking opportunities to enhance risk management processes
Education and experience:
- Minimum 3 years of total experience in handling data management projects data science machine learning model development within banking and finance sector preferably in Credit Risk domain i.e. Basel II and IFRS 9 Risk models development and implementation risk analytics reporting
- Bachelors degree in computer science Engineering Information Systems or a related field.
- Masters degree is preferred
Specialist skills / technical knowledge required for this role:
- Experience working with large and complex data sets including alternative data (bureau open banking etc.) for credit models.
- Experience in Credit Risk modelling and Risk analytics preferred.
- Experience with data science machine learning and artificial intelligence techniques including generative AI classification regression and clustering.
- Possess strong quantitative skills and solid experience in developing validating and monitoring risk models. Knowledge of the credit scoring systems available in the market and their use.
- Advanced user of statistical software (such as SAS and R or Python and SQL)
- Good knowledge of handling Risk Technologies & its implementation.
- Ability to work independently on multiple tasks and/or projects.
- Excellent oral and written communication skills in English.
- Proficiency in risk concepts banking products/ operations/ systems pertinent regulatory requirements
- Flexible team player and able to work and deliver under pressure.
Required Experience:
Senior IC
Employment Type
Full Time
Key Skills
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