Now it’s your time to join the #1 bank in the Middle East and one of the most prestigious financial companies in the region. Shaking up the world of banking requires a lot of smarts and skill. We’re looking for the brightest and best to help us reach our goals and we’ll also help you reach yours. Your success is our success as you grow stronger in your career. Join us and leave a legacy of your own, as a pioneer in both the company and the industry.

AVP, Data Scientist will need a combination of business focus, strong statistics analytical and problem-solving skills and statistical programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the data science projects. Excellent written and communications skills to report back the findings in a clear, structured manner are required. 

Finally AVP, Data Scientist will be major contributor for the implementation of the approved corporate AI and Analytics strategy with an aim to develop actionable insights that continuously optimize business decisions.

Core responsibilities

• Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, Designs experiments, and test business hypotheses.
•  Identify what data is available and relevant in the bank for analytics opportunities, including internal and external data sources, leveraging new data collection processes such as geo-location data, Unstructured data sources such emails, log files, social media etc.
• Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.
• Utilize patterns and variations in the volume, speed and other characteristics of data supporting the initiative, the type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
• Provide on-going tracking and monitoring of performance of decision systems and statistical models built by the data science unit.
• Recommend & Implement ongoing improvements to methods and algorithms that lead to findings, including new information & patterns in the data.
• Establish conducive ecosystem for analytics using tools, processes, vendors etc. within the bank that will enable adoption of analytics across the organization.
• Play the role of bank wide machine learning and Artificial Intelligence expert to use these techniques to solve the real business problems.

Minimum Qualifications:

• Master’s in Business Administration from top B Schools.
• Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.
• Additional degree or certifications in the field related to the data science/Analytics is preferred.

Minimum Experience:

• Minimum 7+ years of experience in managing a large Analytics or AI function in a financial services organization reporting to unit head of Analytics and AI
• 6 or more years of relevant quantitative and qualitative research and analytics experience.
• Strong experience of hand on experience of programming min 5yrs
• Team leading exp of 4yrs

Knowledge, Skills, and Attributes:

Knowledge and Skills

•  Ability to independently manage analytics engagements from start to finish, delivering actionable insights within established timelines and budget.
• Excellent understanding of Advanced analytics ,machine learning and Artificial Intelligence(AI) techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, Deep Learning etc.
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
• The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.