Qureos Mentor

U Microfinance Bank Limited

<div>
 
 
 Job Purpose
 
 
 
 The
 
 Manager &ndash; BI Analytics &amp; Data Science
 
 drives data-driven decision-making by building end-to-end analytical solutions. The role bridges the gap between raw data and business strategy by managing the full lifecycle of data&mdash;from pipeline engineering and ETL to advanced predictive modeling and high-impact
 
 Power BI
 
 visualizations.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Engineering &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Streamline
 
 ETL processes
 
 and develop
 
 optimized data models
 
 to drive efficient, high-performance
 
 Power BI
 
 reporting and advanced analytical insights.
 </li>
 <li>
 Develop and deploy
 
 Machine Learning models
 
 and statistical frameworks to solve complex business problems.
 </li>
 <li>
 Utilize
 
 SQL, Python, or R
 
 to perform deep-dive analysis and identify predictive trends.
 </li>
 <li>
 Maintain the integrity and performance of the
 
 data architecture
 
 supporting analytics.
 </li>
 </ul>
 
 
 2. Power BI Visualization &amp; Reporting
 
 
 <ul>
 <li>
 Lead the design and maintenance of interactive
 
 Power BI dashboards
 
 and automated reporting tools.
 </li>
 <li>
 Translate complex datasets into clear, visual stories that allow stakeholders to track
 
 KPIs
 
 in real-time.
 </li>
 <li>
 Utilize
 
 Advanced Excel
 
 for specialized data manipulation, ad-hoc analysis, and complex financial modeling.
 </li>
 <li>
 Communicate technical findings to non-technical stakeholders to guide strategic growth.
 </li>
 </ul>
 
 
 3. Governance &amp; Strategy
 
 
 <ul>
 <li>
 Align data initiatives with cross-functional business goals while ensuring compliance with
 
 data governance
 
 and security policies.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications &amp; Experience
 
 
 <ul>
 <li>
 
 Education:
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree
 
 in Data Science, Computer Science, or Statistics.
 </li>
 <li>
 
 Experience:
 
 
 4&ndash;5 years
 
 in BI and Data Science.
 </li>
 <li>
 
 Industry Preference:
 
 
 Prior experience in the Banking or Financial Services sector
 
 is highly preferred and will be a significant
 
 plus point
 
 .
 </li>
 <li>
 
 Technical Stack:
 
 Expertise in
 
 Power BI
 
 ,
 
 SQL
 
 , and
 
 Advanced Excel
 
 , with strong proficiency in
 
 Python/R
 
 ,
 
 ETL development
 
 , and
 
 data modeling
 
 .
 </li>
 <li>
 
 Expertise:
 
 Hands-on experience in
 
 Machine Learning
 
 , statistical analysis, and creating advanced
 
 DAX measures
 
 .
 </li>
 <li>
 
 Banking Domain:
 
 
 Banking knowledge or past experience in banking
 
 is a plus, specifically regarding credit risk, deposits, branchless banking, or financial regulatory requirements.
 </li>
 <li>
 
 Soft Skills:
 
 Sharp
 
 analytical thinking
 
 and the ability to present data insights clearly to leadership.
 </li>
 </ul>
 
 
</div>

Manager – BI Analytics & Data Science

<div>
 
 
 Manager / Analyst - IFRS 9
 
 
 
 
 
 
 
 Job Purpose:
 
 
 
 We are seeking a detail-oriented and technically proficient IFRS 9 Analyst to play a critical role in the operational execution and monitoring of our Expected Credit Loss (ECL) framework. The successful candidate will be hands-on in running Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models, managing the end-to-end ECL production cycle, and providing robust analytical support for financial reporting and credit risk management.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Execute the monthly/quarterly ECL production cycle, ensuring all tasks are completed accurately and within strict deadlines.
 </li>
 <li>
 Operationally run and maintain the suite of IFRS 9 models (PD, LGD, EAD) for all relevant portfolios.
 </li>
 <li>
 Prepare and validate input data required for model runs, ensuring completeness, accuracy, and adherence to model definitions.
 </li>
 <li>
 Calculate and apply forward-looking macroeconomic adjustments (scenario weighting, overlays) to model outputs as per the approved methodology.
 </li>
 <li>
 Analyze significant movements in ECL provisions, explaining drivers such as portfolio growth, model updates, changes in macroeconomic forecasts, and credit quality changes.
 </li>
 <li>
 Prepare and distribute standardized and ad-hoc ECL reports for management, credit risk committees, and financial reporting teams.
 </li>
 <li>
 Implement and adhere to robust control frameworks to ensure the accuracy and auditability of the ECL calculation.
 </li>
 <li>
 Assist with internal and external audit requests, providing evidence and explanations for the ECL process.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in finance, Accounting, Economics, Mathematics, Statistics, Actuaries, or a related quantitative field.
 </li>
 <li>
 3-6 years of hands on experience in an IFRS 9 ECL reporting, credit risk analytics, executing PD, LGD, and EAD models within a banking or financial services environment.
 </li>
 <li>
 Advanced skills in Microsoft Excel; experience with VBA, Python, or R, is highly desirable.
 </li>
 </ul>
 
 
</div>

Manager

Join U Microfinance Bank Limited 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.

U Microfinance Bank Limited

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Manager – BI Analytics & Data Science

Manager