Experian is hiring Senior Analytics Consultant
The role sits within our Decision Analytics business, one of our four Global Business Lines. Experian Decision Analytics helps client achieve and sustain significant growth. We do this by enabling clients to make analytics-based customer decisions that support their strategic goals. As experts in uniting business understanding with consumer and business information, analytics and strategy execution, we empower clients to optimize customer value and actively manage it over time. This role therefore has clear accountability for creating measurable value within our client organizations.
What you'll be doing
- This will be a client - facing role, requiring direct interaction with clients to understand their needs and delivery tailored solutions.
- Delivering high quality analytical and value-added services for clients while adhering to timelines
- Build next in class risk Models for our Clients leveraging bureau and alternate data
- Provide subject matter expertise on acquisition and limit assignment strategies
- You'll play an integral role to Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution
- You will have the opportunity to use analysis and customer insights to develop value propositions for customers
- Manage the delivery of multiple, complex analytics projects
- Flexible and expertise to perform hands-on modelling work
- Motivate project team to ensure quality deliverables and achieve milestones
- Mentor and coach junior team members in model development process
- Develop industry best practice on model development/validation
- Drive high standards of customer service and proactive client communication throughout the project term
Qualifications
- 8-12 years experience in credit risk modelling across customer life cycle
- A strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.
- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree
- Experience working on large data sets using Modern languages like Python
- Good understanding and hands-on experience of statistical modelling/data analysis tools (SAS, Python) and techniques
- Good applied statistics skills, such as distributions, statistical testing, regression etc.
- Understanding of decisioning and portfolio management in banking and financial services would be added advantage
- Understanding of credit bureau would be an added advantage
- Extensive experience of managing large projects
- Experience of working in a financial services environment or Modelling department of International Banks
- Able to interpret technical features into commercial benefits
