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I am reaching out from LeadingEdge our client is looking for Data science degree holder who have experience in risk management and compliance issues
For the onsite job in Karachi
Experience 02
Budget: 200k
Contract 1 year to 2 year
IF INTERESTED KINDLY SHARE YOUR RESUME ALONG WITH YOUR CURRENT AND EXPECTED SALARY OR REFER SOMEONE RIGHT FIT
Position DATA ANALYST OR BUSINESS ANALYST
Location: Karachi
Budget: 200k
Contract 1 year or 2 years bonding.
Key Responsibilities:
Understanding of Development of IFRS9 Expected Credit Loss modeling for PDs LGD along with Basel Guidelines.
Excellent understanding of machine learning and artificial intelligence techniques and algorithms
Develop and implement statistical models and algorithms to identify quantify and predict enterprise risks.
Analyze large datasets to uncover trends and patterns related to risk exposure.
Collaborate with stakeholders to understand risk management needs and translate them into datadriven solutions.
Prepare and present data visualizations and reports that communicate findings and recommendations effectively.
Monitor and evaluate the effectiveness of risk management strategies and adjust models as necessary.
Stay updated on industry trends regulatory changes and best practices in risk management.
Qualifications:
Degree in Data Science.
02 years of working experience in the role.
Proven experience in data analysis statistical modelling and machine learning techniques.
Proficiency in programming languages such as Python R or SQL.
Experience with data visualization tools (e.g. Tableau Power BI) and big data technologies (e.g. Hadoop Spark) is a plus.
Strong analytical thinking and problemsolving skills.
Excellent communication skills with the ability to convey complex information to nontechnical stakeholders.
Preferred Skills:
Experience in the financial institutions in the enterprise risk management function is a plus.
Knowledge of enterprise risk management frameworks
Familiarity with regulatory requirements and compliance issues.
Remote Work :
No
Full Time