Job Vacancies at Stanbic IBTC

Job Purpose

To ensure that ALM responsibilities are managed and executed effectively incorporating a forward-looking view to liquidity risk management and balance sheet optimization. This includes reporting, measurement, management and maintaining of the ALM business process.

Key Responsibilites

• Measure, report and manage the outcomes of each measure of liquidity and Interest Rate Risk in the banking Book (IRRBB) to the ALCO in accordance with set policies and procedures. Evaluates and research in country dynamics and regulatory environment as well as international ALM best practise to do the above
• Update all relevant Interest Rate Risk in the Banking Book (IRRBB) attributes, setups and market data in Quantitative Risk Management (QRM) ALM system for use in the calculation of accurate IRRBB metrics as part of the monthly production cycle. This requires liaising with and obtain information from executives, senior managers and mangers within the various business units.
• Establish and maintain systems and procedures for the implementation of ALM Risk Management and for monitoring on a daily, weekly and monthly basis compliance with the tolerance limits and appetite triggers approved by in country ALCO and Group ALCO.
• Proposing action plans to remediate risk appetite breaches and to optimise country balance sheets
• Analysis of Forecast/Budgets and formulation of funding plans and contingent funding plans

Qualifications

• Professional qualigication in ICAN, ACI, ACA, CA or its equivalent
• A Post-graduate/masters degree or certification in finance/ economics/ maths/ statistics/ financial risk management would be an added advantage.
• Minimum of five years banking experience in asset and liability management, finance reporting, quantitative financial modelling or risk management;
• Knowledge of market risk, liquidity risk Funds Transfer Pricing and IRRBB would be a distinct advantage.
• Experience in Financial Management Information (FMI) and/or ALM System - Quantitative Risk Management (QRM) systems would be a distinct advantage.

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Job Purpose

• Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyze phenomena.
• Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualization techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions.

Key Responsibilities / Accountabilities
Data:

• Assist the gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organization’s goals.
• Assists various mathematical, statistical, and simulation techniques to typically large and unstructured data sets in order to answer critical business questions and create predictive solutions which drive improvement in business outcomes.
• Codes, tests and maintains scientific models and algorithms and identifies trends, patterns, and discrepancies in data and determines additional data needed to support insight.
• Use data profiling and visualization techniques using tools to understand and explain data characteristics that will inform modelling approaches.
• Utilizes the appropriate data storage and data mining tools to ensure value can be extracted from the sourced data.

Product:

• Supports various mathematical, statistical, and simulation techniques to answer business questions within specific areas of focus. Develops modelling solutions that enable the forecast of quality data outcomes.
• Ensures that volumetric predictions are modelled so that resource requirements are optimally considered. Supporting reporting production ensuring sustainable and effective modelling solutions.
• Supports and implements operational IA plan, rules, methodologies and coding initiatives in order to ensure IA for remediation efforts. Support and implements the strategy for productionalising automation software so that it is accurate and well maintained.

Minimum Qualifications and Experience

• First Degree in Information Technology or Information Studies
• Proficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, QlikView; Tableau, Python, C#, Java, C++, HTML
• Minimum of three years proven development experience in software and software engineering
• Understanding of financial services data processes, systems, and products.
• Understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data.
• Experience in technical business intelligence.
• Knowledge of IT infrastructure and data principles.
• Project management experience.
• Experience in building models (credit scoring, propensity models, churn, etc.)
• Experience in working with unstructured data (e.g. Streams, images)
• Experience with data visualization tools, such as Power BI, Tableau, etc.
• Experience with common data science toolkits, such as SAS, R, SPSS, etc.