Manage the client relationship and business performance.
Lead the collection and analysis of market data.
Act as an advisor to the client and MODE by relating and interpreting the analyses to identify specific business issues, solutions and competitive advantage.
Duties and responsibility:
Profitable execution of the client contract.
Establish and maintain good relations with the customer.
Responsible for product market penetration and revenue growth in line with the company targets.
Establish budgets and product growth strategy with the client and MODE.
Lead the continuous improvement of credit risk and pricing models to improve business performance.
Analyze the trade-off between different levers across the product design (pricing, volume etc.), how this relationship impacts overall budget performance (cash flow, revenue and profits) and to provide recommendations on how to improve product.
Use advanced data mining techniques to identify and prevent fraud.
Degree in actuarial science, mathematics, statistics, economics, or applied.
7+ years of quantitative experience in advanced analytics, financial engineering, risk analytics or related role required.
Good influencing skills, presentation and report writing skills and the ability to build good working relationships.
Flexible and responsive to changing work patterns and demands.
A thorough and methodical approach to work.
Strong background in machine learning, hypothesis testing, regression analysis, statistics, or probability, as well as experience creating predictive analytics on high dimensional, noisy data that may also contain missing values.
Experience working with large volumes of data coming from different.
Experience in natural language processing, especially in text analytics and news aggregation methodologies.
Good knowledge of statistics, machine learning and predictive modeling.
Experience with statistical software packages (such as SAS, R), and/or applications for data visualization and reporting to end users (such as Business Objects, Power BI, Qlik or Tableau).
A good understanding of core and emerging analytics methods and approaches and how they can be deployed to drive value within and across client organization.