Stanbic IBTC Bank recruitment for a Data Scientist

the best people, and a uniquely flexible
and vibrant working culture. To help us drive our success into the future, we
are looking for resourceful individuals to join our dedicated team at our
offices.

• Information Technology: systems development, business
  analysis, architecture, project management, data warehousing,
  infrastructure, maintenance and production

• To create and deliver data-driven measurement,
  analytics, insights and analysis to provide value to a portfolio of
  business areas, including next-best action, segmentation, churn, life time
  value, or loyalty analysis and modelling in order to enable optimal
  decision making.
• To analyse, model and predict key parameters, trends
  and customer behaviours, taking into account the economic environment,
  seasonality, business cycles, knowledge of clientele, pricing and key
  business strategies.
• To create high-quality leads by building analytical
  models to predict individual customer needs, preferences, behaviour, risk
  and other key parameters.

• Selecting features, building and optimizing classifiers
  using machine learning techniques
• Doing ad-hoc analysis and presenting results in a clear
  manner
• Creating automated anomaly detection systems and
  constant tracking of its performance
• Enhancing data collection procedures to include
  information that is relevant for building analytic systems
• Data mining using state-of-the-art methods
• Processing, cleansing, and verifying the integrity of
  data used for analysis

• Cross / up-sell modelling
• Channel preference modelling
• Manage the end-to-end process of individual model
  development, from initial consultation with the relevant business units to
  delivery of final presentation and implementation of regular scoring of
  customers
• Retention/churn/attrition analysis and modelling
• Income estimation modelling.
• Customer life time value modelling

• Provide critical support to business using other
  data-driven analytics, such as data-based customer segmentation and
  identification of key trends in customer behaviour across channel, product
  and segment
• Keep abreast of latest developments in predictive
  modelling and optimization

• Job: Provide Service
• Nature of relationship: Provide and receive a service
• Sphere of influence: Impact the whole Group
• Description or examples: Financial and customer data
  modelling

• Nature of relationship: Manage the relationship
• Description or examples: Third Party Service

• Minimum of B.Sc/B.Com Honours degree in Statistics,
  Mathematics, Operations Research, Mathematics of Finance or equivalent
  Actuarial degree, or subject with appropriate statistical content
• Masters or higher degrees preferred
• Information Technology:
• Job Family: Analyst
• 3-4 years experience in knowledge discovery and
  data-mining, In-depth involvement in propensity, attrition, next-
• Job Function: Business Support:
• Job Family: Business
• 3-4 years experience in customer intelligence role
  (within a financial institution, or other business-to-business
  environments dealing with large business units).
• Experience in translating models into deliverables and
  insights and implementing them in an operational environment

• Competency Description: SAS or equivalent data/analytic
  software systems (expert). SAS certification or extensive experience (3+
  years) is desirable

• Competency Description: Ability to combine
  conceptual/abstract thinking with a practical sensibility to ensure that
  projects add value to business stakeholders

• Competency Description: Ability to prioritise
  activities within allocated time frames

• Competency Description: Quick to assimilate and
  integrate new information. Supports internal stakeholders in making
  business decisions by providing the necessary analytics.