Urwah Admin

Commercial Bank

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 About Commercial Bank Of Qatar
 
 
 
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services.
 
 
 We believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 Join us in shaping the future of banking!
 
 
 
 Job Summary
 
 
 
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 Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems.
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 This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge .
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 The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions.
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 Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value.
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 The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.
 
 
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 Key Accountabilities
 
 
 
 
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 ML Model Development
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 Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures.
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 Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption.
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 Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement.
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 Banking Domain Application
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 Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes.
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 Partner with Risk, Finance, and business units to identify high-value modeling opportunities.
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 Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints.
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 Analysis &amp; Insights
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 Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data.
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 Translate model outputs into actionable business recommendations and insights.
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 Develop model performance metrics aligned with business KPIs and financial outcomes.
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 Create data visualizations and reports for stakeholder communication.
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 Prototyping &amp; Delivery
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 Develop working prototypes in Python demonstrating model functionality and business value.
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 Create clear documentation of model methodology, assumptions, limitations, and use cases.
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 Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems.
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 Stakeholder Collaboration
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 Partner with business stakeholders to understand requirements and validate model outputs.
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 Present model results, methodology, and recommendations to senior management.
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 Contribute to model governance, validation, and documentation requirements.
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 Ensure compliance with data policies, ethical standards, and regulatory requirements.
 
 
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 Key Competencies
 
 
 
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 Machine Learning &amp; Statistics
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 Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering.
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 Deep experience with pricing models, propensity modeling, and recommendation systems.
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 Strong foundation in statistical analysis, hypothesis testing, and experimental design.
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 Familiarity with deep learning frameworks (TensorFlow, PyTorch) for advanced use cases.
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 Banking Domain Expertise
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 Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle.
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 Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks.
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 Understanding of Finance functions including P&amp;L drivers, cost allocation, and profitability analysis.
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 Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.).
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 Technical Skills
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 Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.).
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 SQL &ndash; Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries).
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 Experience with data visualization and reporting tools.
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 Familiarity with Git (GitHub/GitLab) for version control.
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 Basic understanding of Spark for large-scale data processing.
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 Awareness of MLOps practices and model deployment concepts (MLflow, TFX).
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 Communication &amp; Collaboration
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 Ability to translate complex analytical concepts into business language for non-technical stakeholders.
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 Strong presentation skills for executive-level communication.
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 Experience working with cross-functional teams across business and technology.
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 Agile methodologies (Kanban, Scrum) experience.
 
 
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 Qualifications &amp; Experience
 
 
 
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 Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.
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 8+ years of experience in data science or quantitative analysis roles.
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 Minimum 5 years of experience in banking or financial services industry is mandatory.
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 Proven track record of delivering ML models in pricing, propensity, or recommendation domains.
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 Background in Risk, Finance, or quantitative functions within banking preferred.
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 Experience with model validation, governance, and regulatory requirements in financial services.
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 Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.
 
 
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 Why Commercial Bank?
 
 
 
 
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 Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
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 An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
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 Opportunities for Global Partnerships &amp; International Exposure, connecting employees with global networks and perspectives.
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 A focus on Employee Well-being &amp; Work-Life Balance, ensuring a healthy and supportive environment for all team members
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 Competitive Compensation &amp; Benefits that ensure our employees are rewarded for their dedication and performance
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 A strong Commitment to Diversity, Equity &amp; Inclusion, fostering a culture that values every individual&rsquo;s unique perspective.
 
 
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 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 
 digital transformation
 
 in Qatar&rsquo;s banking sector, blending
 
 digital-first
 
 approach to redefine banking through
 
 innovative
 
 solutions.
 
 
 
 Disclaimer
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
</div>

Senior Data Science Expert

Job Overview As a Personal Banker, you will play a crucial role in providing exceptional customer service and financial guidance to our clients. You will be responsible for building and maintaining strong relationships with customers while assisting them with their banking needs. Your expertise in financial products and services will help clients make informed decisions about their finances, ensuring their satisfaction and loyalty. Must have 2 years of banking experience. Mortgage department management experience helpful. In this position you could be a floater between all 4 of our locations. Also working 2 Saturdays per month is required.Duties<ul><li>Engage with customers to understand their financial needs and provide tailored solutions.</li><li>Open new accounts, process transactions, and manage cash effectively.</li><li>Utilize financial software to assist clients with various banking services.</li><li>Monitor accounts for potential fraud and implement detection measures as necessary.</li><li>Promote bank products and services through effective sales techniques.</li><li>Maintain accurate records of customer interactions and transactions for relationship management purposes.</li><li>Two Saturday's required per month.</li><li>Will be working at various branches - other locations include Florissant, Chesterfield and Manchester.</li></ul>Skills<ul><li>Proficiency in basic math and cash management is essential for handling transactions accurately.</li><li>Strong customer relationship management skills to foster trust and loyalty among clients.</li><li>Experience in fraud prevention detection to safeguard client assets and bank integrity.</li><li>Familiarity with financial software to streamline banking processes efficiently.</li><li>Proven sales skills, particularly in financial sales, to effectively promote products and services.</li><li>Excellent communication skills to convey complex information clearly to customers.</li><li>Ability to build rapport with clients through effective relationship management techniques.</li></ul>Join our team as a Personal Banker, where your expertise will help shape the financial futures of our valued customers while contributing to the success of our bank!Job Type: Full-timePay: $21.00 - $23.00 per hourBenefits:<ul><li>401(k)</li><li>401(k) 3% Match</li><li>401(k) matching</li><li>Dental insurance</li><li>Flexible spending account</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Ability to Commute:<ul><li>Maryland Heights, MO 63146 (Required)</li></ul>Ability to Relocate:<ul><li>Maryland Heights, MO 63146: Relocate before starting work (Required)</li></ul>Work Location: In person

Universal or Personal Banker

Join Commercial Bank and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Commercial Bank

About Company

Senior Data Science Expert

Universal or Personal Banker