Current Openings at Equity Bank Limited

Responsibilities for the HR Business Partner Job

• Develop specific people agenda to support business strategy
• Ensure staff productivity by implementing performance management and reward strategy
• Manage staff retention through attrition trend analysis and advising appropriate interventions to minimise business impact.
• Review manpower plans for allocated business units and ensure that they are updated as appropriate.
• Participate in the acquisition of talent by ensuring the right job profiles conducting interviews and onboarding.
• Support the General Manager in formulating and implementing value adding strategic HR Functional plans that deliver business results
• Support the General Manager and in liaison with the Centre Of Excellence colleagues to deliver best practice, customer and solution focused HR function, on:
• Performance Management
• Rewards Management
• Recruitment, Retention And Contract Management
• Training Needs Analysis And Capability Building
• Employee Inductions And Deployment
•  Talent Management and Succession Planning
• Change Management
• Provide professional and timely employee relations advice and guidance to managers and colleagues. Provide coaching and support as required, and be comfortable influencing and challenging where appropriate.
• Interpret and provide advice on HR policy and variations across the Business Unit or Division, supporting managers in the practical implementation of HR policies, employment legislation and best practice.
• Provide advice and guidance for disciplinary hearings and other types of hearings and where appropriate offer advice and guidance to the panel.
• Support in managing organizational change, redundancy and redeployment, in line with legislation, policy and good practice.
• To develop the competence framework and ensure the development of the right skills to support business performance
• To coordinate and influence the development of a performance culture through effective implementation of integrated performance management with appropriate measures of success.
• Co-ordinate and at times administer the training and development projects and plans (activities include training needs assessments and mitigations)

Qualifications

•  Degree in Business Management or related field with ideally a HND in HR
• Knowledge of HR with a minimum of deep knowledge in 2 HR practice areas
• Ideally 3-5 years’ work experience within the HR function directly in, or closely supporting, executive and/or line operations.
• Service Orientation -responsive to client needs, questions and concerns in an accurate timely manner.

Skills Requirements and Attributes

• Assertive and able to challenge the status quo.
• Highly driven with ability to set stretching goals for self and team while continually pushing for results.
• Analytical skills, strong people management skills and customer focus with proven ability to build and sustain effective relationships across the organization
• Ability to communicate effectively at different levels and across cultures
• Attention to details and follow through on assignments to completion

Complexity and Judgement

• Accumulate bits of information to diagnose and anticipate business challenges. Trends are noticed and proactivity applied in support of Business strategy.
• Plan and carry out sequential projects while considering contingencies and alternatives.

Closing Date :Feb 15, 2022

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Job Responsibilities/ Accountabilities:

• Direct the gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organisations goals.
• Perform data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation and derivation of new variables/features.
• Utilise advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders.
• Designs 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. Drives analytics and insights across the organisation by developing advanced statistical models and computational algorithms based on business initiatives
• Use data profiling and visualisation techniques using tools to understand and explain data characteristics that will inform modelling approaches. Communicate data information to business with various skill levels and in various roles, presenting trends, correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights and defend recommendations.
• Create, maintain and optimise modelling solutions that enable the forecast of quality data outcomes. Ensures that volumetric predictions are modelled so that resource requirements are optimally considered. Develops and maintains optimal evaluation techniques to ensure that modelled outcomes are rigorous and creates model performance tracking. Drives sustainable and effective modelling solutions.
• Provide  input into Data management and modelling infrastructure requirements and adheres to the organisations’s infrastructure development processes, including the management of User Acceptance Testing (UAT). Conducts regression testing across all relevant systems as required.
• Build machine learning models from and utilises distributed data processing and analysis methodologies. Competent in Machine Learning programming in R or Python, with supplementary still in Matlab, Java, etc. Familiar with the Hadoop distributed computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka
• Act as a subject matter expert from a data science perspective and provides input into all decisions relating to data science and the use thereof. Educate the organisation on data science perspectives on new approaches, such as testing hypotheses and statistical validation of results. Ensure ongoing knowledge of industry standards as well as best practice and identify gaps between these definitions/data elements and organisation data elements/definitions

OTHER SKILLS and ABILITIES:

• Degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.
• 5-7 years’ experience in working with unstructured data (e.g. Streams, images) 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 with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualisation tools, such as Power BI, Tableau, etc.
• Proficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Power BI; Qlikview; Tableau; SSIS SSRS, R, Python, JSON , C#, Java, C++, HTML
• Proven development experience in software and software engineering. Understanding of financial services data processes, systems, and products. Experience in technical business intelligence. Knowledge of IT infrastructure and data principles.
• Project management experience. Exposure to governance and regulatory matters as it relates to data. Experience in building models (credit scoring, propensity models, churn, etc.).
• The candidate must also have a proven and successful experience track record of leading high-performing data analyst teams leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance.
• A suitable candidate will also have had experience working with and influencing and possess vast experience and expertise with probability and statistics, inclusive of machine learning, experimental design, and optimization. As a bonus he will also have had experience working with Hadoop.
• Communication Skills: Communication skills will also be a necessity for the Senior Data Scientist. He must be able to convey important messages and information down the line in order to ensure proper exception of duties by junior data science personnel.
• Ms Office/Software:  Outstanding skills in the use of Ms Word, Ms Excel, PowerPoint, and Outlook, which will all be necessary for the creation of both visually and verbally engaging reports and presentations, for senior data science management, executives, and stakeholders.
• The candidate must also demonstrate exceptionally good skills in SQL server reporting services, analysis services, Tableau, integration services, Salesforce, or any other data visualization tools.
• Technological Savvy/Analytical Skills:  Technologically adept and especially demonstrate an understanding of database and computer software.
• Interpersonal Skills: A suitable candidate for this position will be a team-builder, be result-oriented, be proactive and self-driven requiring minimal supervision, be open and welcoming to change, be a creative and strategic thinker, have innovative problem-solving skills, be highly organized, have an ability to handle multiple simultaneous tasks prioritize and meet tight deadlines, and demonstrate calmness in times of uncertainty and stress.
• People Skills:  A people person who is able to form strong, lasting, and meaningful bonds with others people. This will make him/her an approachable and trustworthy individual who junior personnel readily follow and who  Data and Analytics colleagues and stakeholders trust and who’s insights they give credit to, making execution of his duties that much easier.

Closing Date: Feb 21, 2022

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Qualifications

• Degree holder or above with major in Business Administration, Finance or related disciplines
• At least 3 years relevant experience in the Business Banking business segment
• Good knowledge of Business banking, trade finance and treasury products and services
• Familiar with the general banking operations and its legal and regulatory requirements
• Previous exposure to the preparation of credit proposals
• Sound interpersonal and communication skills
• Good command of both spoken and written English

Technical skills / Competencies

• Analytical ability: Ability to process and analyse large volumes of complex data, using various standard and specialized software tools.
• IT Skills: MS-Excel, MS PowerPoint and MS Word skills are mandatory to analyse, summarize, and present data in an efficient and meaningful way.

General Competencies

• Team work – Commitment and ability to work with and in cross functional and virtual teams with the Business Units, coupled with ability for straight talking
• Communication – Effectively and concisely communicate key issues and ideas through correspondences and verbally without supervision. Interface with various
  departments effectively to ensure timely delivery of MI in agreement with SLAs in place
• Innovation – Generate new efficient processes and create
  appealing and cutting edge analysis
• Time management & planning – Ability to juggle priorities,
  multi- task and execute at speed individually and as part of a team
• Must be able to recognize, anticipate, and create solutions to issues and problems in a timely manner

Closing Date: Feb 12, 2022

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Key Duties and Responsibilities:

• Evaluating the design and operating effectiveness of the system of internal controls, adherence to Group policies and standards and regulatory requirements;
• Planning and performing audits of Group functions and non-banking subsidiaries in the Group.
• Providing advisory and consulting services to improve efficiency and effectiveness of  Group operations;
• Developing, disseminating and implementing auditing processes and procedures for the Group;
• Providing quality assurance over internal audit activities in subsidiaries.

Qualifications

• BBIT, BSC (Computer Sc) or BCom
• CPA (K) or ACCA
• CISA or CISM
• At least 7 years auditing experience gained in either a big 4 audit firm or a Bank.
• Experience in information systems audit with knowledge of auditing core banking systems, Enterprise Resource Planning systems and digital business processes.
• Working knowledge of Computer Assisted Audit Techniques (CAATs);
• Experience in data analysis;
• In-depth knowledge of IFRS, ISAs and IIA Standards

Closing Date :Feb 15, 2022