Senior scoring analyst (Kazakhstan)

Responsibilities:

  • Carry out the extraction, formulation and manipulation of data to create the structured samples necessary to address business requirements.
  • Interpret and, where appropriate, supervise others in the interpretation of analysis results.
  • Ensure quality and accuracy of own work and the work of any Data Modellers on the project.
  • Follow best practice procedures and processes throughout the analytics solution delivery process.
  • Implement appropriate quality control procedures for all modeling and analysis reporting and scoring.
  • Reduce error rate & re-run frequency. To meet both the analytical & business objective.
  • Produce the best quality models that can be produced within the given project timeline.
  • Analyze and confirm the integrity of source data to be evaluated.
  • Participate in auditing models and results for accuracy.
  • Perform audits to support the implementation of analytical solutions and other decision tools.
  • Be organized, well-document the project by using set-up templates or versions thereof & meet project deadlines
  • Collaborate with internal and external clients to determine the appropriate performance measures and statistical metrics to be applied during the analysis project
  • Generate reports following quality control procedures to document analysis and model findings
  • Foresee potential issues or questions and take preventive actions
  • Plan, organise and complete own workload and supervise, where appropriate, to meet project commitments within agreed schedules.
  • Follow documented procedures, including production of project documentation.
  • Proactively identify potential risks in achieving project timescales, taking proactive action to minimise risk.
  • Maintain accurate time sheet management, logging time to projects effectively.
  • Prepare initial documentation of model algorithms, including all programming involved for data aggregation, sampling, etc
  • Promptly upload information and document to the relevant knowledge sharing site
  • Communicate effectively with other team members to enable them to manage client expectations.
  • Support the sales process through strong analytics solutions knowledge.
  • Provide support to the sales force for client queries related to analytics solutions.
  • Feedback opportunities for analytics sales and chargeable work to line manager or Team Leader.
  • Challenge existing processes and put forward innovative solutions.
  • Actively seek to develop competency/knowledge of both analytical methodologies and analytical software.

Experience:

  • Understanding of statistical techniques which may be used to address client business issues.
  • Understanding of the principles and applications of the relevant Business Lines analytics solutions range.
  • Highly PC literate.
  • Good knowledge of relevant statistical (e.g. SAS/SPSS or R) and IT packages.
  • Good knowledge of computer programming and programming languages
  • Knowledge of machine learning will be your advantage
  • Strong communication skills, including proficiency in writing reports and presenting technical work.
  • Effective project planning and time management skills
  • An innovative and inquisitive mind, focused on addressing and solving data and analysis problems.
  • Common sense/logical approach to mathematical reasoning.
  • Knows the steps that must be taken to investigate/correct data problems.
  • Strong collaboration and teamwork skills
  • Full understanding of Experian bureau data and value added products and how these are used within a client environment. In those markets where there is no Experian bureau – a full understanding of how Bureau operate
  • Data Analysis & Interpretation, Data Processing, Excel
  • Mathematical & Statistical Orientation
  • Predictive modelling
  • Programming & Coding
  • Scorecards
  • Statistical Analysis and Measurement
  • Degree or equivalent standard, with a high mathematical content e.g. Mathematics, Statistics, Operations Research (O.R.), Economics, Physical Sciences.
  • Significant experience of statistical / analytics project work.

Fluent English is a must