Vacancies at Family Bank Ltd

Job Purpose:

Acquisition, consolidation and retention of Asset Finance customers by developing and maintaining strong business relationships through regular, pro-active and value adding contact establishment and fully understanding their supply chain & management and proactively providing appropriate and mutually beneficial financial solutions. Liaises with the Branch Credit management, Head office credit, credit analysts, SME Relationship officers, Area managers, Legal department, Treasury, IB, Corporate and other segments relationship staff.

Key Responsibilities:

• Proactively identify and recruit Asset Finance customers within the designated Region.
• Build, consolidate and maintain excellent relationship with Asset Finance customers.
• Identify, establish and maintain excellent relationship with Asset Finance Strategic Partners in respective  Regions.
• Undertaking a relationship review/assessment at least twice a year to determine and address:
  • Customer satisfaction
  • Risk/credit review
  • Product usage and cross-sell penetration
  • Needs gap analysis
  • Multi-banked situation, if any.
• Responsible for quality portfolio management for the following:
  • Renewal of Insurance Premiums before expiry
  • Growth of the Asset Finance Loans
  • Maintaining PAR below the Sector Industry Rate
  • Maintaining an NPL below the Sector Industry Rate
• Organise for educational seminars/workshop for existing and prospective customers in lieu of enhancing customer loyalty.
• External environmental scanning to assess the relevant economic and County trends, legislative and regulatory influences, key suppliers, markets, customers, competitors that may affect the Asset Finance customer’s business.
• Conduct competitor analysis in the Region and in the Industry and advise the business to review the current pricing and product offering to remain competitive and relevant.
• Cross sell and advise on the appropriate product uptake based on the customer supply chain.
• Responsible for the growth of Asset Finance loans in the Bank.

The Person:

• The ideal candidate must possess the following:

Qualifications:

• Bachelor’s degree in commerce/business related field.
• Banking qualifications, CPA’s or an equivalent
• Master’s degree will be an added advantage
• A minimum of five (5) years relevant banking experience with a bias in relationship banking and customer focussed
• Excellent credit skills
• Ability to conduct thorough credit request appraisal.
• Ability to manage people to achieve specific results.
• An understanding of the Banking Act and Central Bank of Kenya (CBK) prudential guidelines.

Key Competencies and Attributes:

• Ability to sell and network for business – Portfolio growth
• Excellent Analytical and Customer Relationship Skills – Opportunity management.
• Possess ability to work effectively under pressure and meet deadlines.
• Ability to work independently under minimal supervision
• Ability to communicate clearly and effectively
• Practical experience in use of Ms Office applications.
• Results oriented with excellent communication and social skills.
• A forward planner with clear focus, mature, reliable, hardworking and able to work without supervision.
• High integrity, reliable, outgoing and hardworking
• Strong Interpersonal Skills.
• A forward planner with clear focus, mature, reliable, hardworking and able to work without supervision.

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Job Purpose:

• The Data Scientist will play a critical role in driving data-driven decision-making across the Bank. The role holder will analyze large and complex datasets to uncover actionable insights, build advanced analytical and machine learning models, and support optimization of business processes aimed at maximizing revenue growth, improving operational efficiency, and enhancing customer satisfaction.

Key Responsibilities

• Enterprise level data hub: Collaborate with Engineering to develop and enrich enterprise level analytical platform.
• Analytical Models: Design and launch innovative and complex analytical models to drive optimization and improvement of product development, Marketing techniques, risk management and business strategies.
• Machine learning algorithm development: Understand of machine learning algorithms and their applications in areas banking.

Key Competencies:

• Experience in Data science projects life cycle from use case framing, data exploration, model building, deployment etc.
• Demonstrate knowledge and interest in emerging technologies within the big data space.
• Hands-on experience with statistical modelling/Machine learning techniques is a must.
• Well versed in programming languages like R/Python and familiar with deep learning frameworks.
• Ability to work with developers and other functions for rapid data product development and automation within bank projects.
• Experience supporting and working with cross-functional teams in a dynamic environment.

Qualifications:

• Graduate degree in Computer Science, Mathematics, Physics, Statistics, Engineering, Informatics, Information Systems or another quantitative.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience with Python or R.
• Experience with object-oriented/object function scripting languages.
• 2-5 years’ experience in technology/data analytics