Senior Manager | Engineering AI & Data | AI & Data (Financial Services) | Riyadh

AI & Data | Financial Services | Senior Manager

Looking for a rewarding career? Take a closer look at Deloitte & Touche. When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award.

Our Purpose

Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges, and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations, and supporting our communities.

Our shared values guide the way we behave to make a positive, enduring impact:

• Integrity
• Outstanding value to markets and clients
• Commitment to each other
• Strength from cultural diversity
  
  

Overview

During your tenure as a Senior Manager in the AI & Data team, you will demonstrate and develop your capabilities in the following areas:

Technical Capabilities

• Proficiency in programming languages such as SAS, Python, R, or Scala for data manipulation, analysis, and model development.
• Proficiency in various machine learning algorithms and deep learning frameworks
• Extensive knowledge of statistical analysis and mathematical modeling techniques.
• Hands-on experience with machine learning frameworks and libraries, such as TensorFlow, scikit-learn, or PyTorch.
• Strong SQL skills for data querying and database management.
• Understanding on NLP, NLG and GenAI techniques.
• Familiarity with big data processing tools like Hadoop, Spark, or Apache Flink.
• Ability to work with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing.
• Experience in using deployment techniques such as cron jobs, docker and Kubernetes.
• Hands-on experience in advanced data analysis techniques to extract insights, identify trends, and solve complex business problems.
• Develop and implement statistical models, machine learning algorithms, and data mining techniques to discover patterns and opportunities in large datasets.
• Clean, preprocess, and manipulate raw data to ensure data integrity and accuracy.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Design and build predictive models for various business applications, such as customer segmentation, churn prediction, and demand forecasting.
• Conduct exploratory data analysis and visualization to communicate findings and recommendations effectively.
• Stay up-to-date with the latest advancements in data science and technology to continuously improve analytical methodologies and tools.
  
  

Functional Capabilities

• Produce a high-quality work product and collaborate with others to deliver a superior client experience.
• Understand how business functions in financial services operate and how sector trends impact a client’s business (Banking, Insurance, Sovereign Wealth funds, etc.. )
• Identifies opportunities to improve the efficiency and effectiveness of key processes within a business function.
• Ability to design and implement AI solutions that address complex business problems in financial services is crucial.
• Solid understanding of business processes and the ability to apply data science concepts to solve real-world challenges in financial services industry.
• Experience with data visualization tools like Tableau, Power BI, or matplotlib to create intuitive and actionable visualizations.
• Proficiency in data storytelling, presenting complex analysis results to non-technical stakeholders in a clear and understandable manner.
• Knowledge of data governance and ethics, ensuring compliance with data protection and privacy regulations.
• Strong domain knowledge in the relevant industry (e.g., banking, finance, e-commerce, retail etc) is a plus.
  
  

Leadership Capabilities

• Identifies and embraces our purpose and values and puts these into practice in their professional life
• Develops self by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador
• Seeks opportunities to challenge self; teams with others across businesses and borders to deliver and takes accountability for own and team results
• Builds relationships and communicates effectively in order to positively influence peers and other stakeholders
• Understands objectives for clients and Deloitte, aligns own work to objectives and sets personal priorities
• Excellent communication and people skills, with a strong emphasis on team working
• Strong administrative and numeracy skills and ability to analyze complex data with good attention to details
• Ability to lead and mentor junior data scientists, guiding them in their professional growth and development.
• Demonstrated project management skills, including the ability to plan, prioritize, and execute projects within deadlines.
• Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
• Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
• Strong business acumen, identifying opportunities where data science can drive business value and growth.
  
  

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• 8-10 years of practical experience in data science or related roles.
• More than 5 years f experience in financial services industry or working with financial services clients with very good understanding of applicability of AI within the industry
• Previous experience working on data-intensive projects and delivering data-driven insights to stakeholders.
• Good command of written and spoken English.
• Ability to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hours.
• Willingness to travel across GCC region (50-75% of time)
  
  

Additional Preferred Qualifications

• Experience in Big Four or Global System Integrators is a plus.
• Arabic language is a plus.
• Professional Certification in any of the above-mentioned tools or platforms will be a plus.
• Publications or articles on Data Science topics is a plus.
• Patents on machine learning would be an added advantage.