Wood Pecker Group is urgently looking Data Scientist Cum Data Analyst for Risk Management with relevant experience
As a Data Scientist Cum Data Analyst for Risk Management, you will be responsible for
leveraging both statistical analysis and advanced analytics to provide insights and strategies that
safeguard the company’s assets, reputation, and customers from potential stock-trading related
risks. You will play a crucial role in understanding, predicting, and mitigating risks related to
stock trading patterns and behavior.
[Key responsibilities]
Data Analysis & Modeling:
Design, develop, and deploy predictive models to identify suspicious stock trading and
potential fraudulent activities.
Analyze large datasets to extract insights and trends that can influence stock trading behavior
and risks.
Utilize machine learning techniques to continuously improve the accuracy of risk predictions.
Risk Management:
Collaborate with the broader risk management team to design and implement strategies that
minimize potential losses.
Generate daily, weekly, and monthly reports that highlight potential risk areas and provide
actionable insights.
Recommend thresholds for stock trading limits based on customer behavior, historical data,
and market conditions.
Stakeholder Collaboration:
Work closely with the IT department to ensure that data sources are reliable, and data
processing pipelines are optimized.
Provide feedback and insights to the customer support and operations teams to ensure a
holistic approach to risk management.
Present findings and insights to senior management, informing decision-making processes.
Continuous Learning:
Stay updated with the latest developments in the stock trading & sports industry, including
technologies, regulations, and threats.
Attend conferences, workshops, and training to ensure the companys risk management
techniques are state-of-the-art.
[Qualifications]
Education: Bachelor’s degree in Statistics, Data Science, Computer Science, or a related field.
Master’s or PhD preferred.
Experience: At least 3-5 years of experience in a data science, analytics, or statistical analysis
role. Prior experience in the stock trading & sports industry or risk management is a plus.
Proficiency in data analysis tools and programming languages such as Java,Python, R, SQL,
and relevant data science libraries.
Experience with big data platforms like Hadoop, Spark, or similar technologies.
Strong statistical modeling background with experience in machine learning and predictive
analytics.
Interested candidates may submit their CVs through or WhatsApp at +971 52 836 7254
Job Types: Full-time, Permanent
Salary: AED5,000.00 - AED12,000.00 per month
Application Question(s):
Ability to Commute: