Data Scientist at Stanbic IBTC

Job ID: 28192
Location: Lagos Island, Lagos
Job Sector: Information Technology and Services

Job Details

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

Job Purpose

• 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.

Key Responsibilities/Accountabilities
Interpret data, analyse results using statistical techniques and modelling:

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

Adopt analytic models and create actionable insights:

• Cross / up-sell modelling
• Retention/churn/attrition analysis and modelling
• Income estimation modelling.
• Customer life time value 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

Data management and Critical business support:

• 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

Relationships

Business area: SIBTC Group

• 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

Role type of external contact: Vendors

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

Preferred Qualification and Experience

• 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

Knowledge/Technical Skills/Expertise
Data Analytics:

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

Problem Solving:

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

Planning:

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

Decision Making:

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