Senior Scoring Analyst - Compuscan IT, Pretoria

  • Pretoria
  • Salary: Market Related
  • Job Type: Permanent
  • Sectors: IT, Technology, Consulting
  • Posted by Compuscan IT on Monday, October 14, 2019
  • Reference: 1616420
  • Apply before Friday, December 13, 2019 - 22 Days left

Vacancy Details

Employer: Compuscan IT

About the Role:

This role is responsible for carrying out descriptive and predictive analysis to develop analytical solutions which benefits to our clients and their customers. The role holder is able to carry out analysis independently.

Principle 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

• Collaborate with internal and external clients to provide project support

• Generate reports following quality control procedures to document analysis and model findings

• Coordinate data receipt and delivery with internal and external clients

• Foresee potential issues or questions and take preventive actions

• Plan, organise and complete own workload and supervise, where appropriate, the workload of any Junior Data Modellers on the project, to meet project commitments within agreed schedules.

• Follow documented procedures, including production of project documentation.

• Contribute to the preparation of regular project status reports to both internal and external parties.

• 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

• Produce and implement project plans for analytical processes

• Produce statistical models and perform quantitative analyses to assess business alternatives

• Promptly upload information and document to the relevant knowledge sharing site

• Support at least one Data Modeller, ensuring their quality of work and schedule of tasks

• Communicate with client and/or other departments/divisions within Experian to help ensure accurate and timely implementation of project work.

• Together with the Consultant take part in client reviews and delivery meetings.

• Communicate effectively with other team members to enable them to manage client expectations.

• When required attend client meetings in order to support the sales process.

• Support the sales process through strong analytics solutions knowledge.

• Provide support to the sales force for client queries related to analytics solutions.

• Provide support to the sales force for preparation of sales documentation, proposals, sales materials, participation in tenders, etc. related to analytics solutions projects.

• Feedback opportunities for analytics sales and chargeable work to line manager or Team Leader.

• Challenge existing processes and put forward innovative solutions.

• Identify how the results can be verified and produce the analysis required to demonstrate this.

• Share findings with peers from other teams and management where required.

• Communicate ideas in knowledge sharing forums.

• Actively seek to share knowledge within the team.

• Mentor Junior Data Modellers in the use of methodologies, processes and software providing explanations of business requirement specifications to facilitate understanding of the clients’ objectives.

• Participate in induction training of new Data Modellers.

• In consultation with line manager, maintain and action agreed personal development plan.

• Seek and provide feedback as part of the feedback process.

• Improve skills by reviewing and testing new techniques.

• Maintain awareness of latest business and market developments.

• Actively seek to develop competency/knowledge of both analytical methodologies and analytical software.

Required Skills

  • scorecard : 4 to 5 years
  • statistical analysis tools : 4 to 5 years
  • statistical tools : 4 to 5 years

Candidate Requirements

Required key skills (functional / technical)

• Thorough understanding of the modelling development process.

• 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

• 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 interpersonal skills.

• Strong collaboration and teamwork skills

• Commercially aware.

• Relevant Language skills for local marketplace.

• Excellent English language skills

• Thorough knowledge of the use and application of analytical methodologies.

• 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

• R (statistical coding)


• Scorecards

• Spatial Analysis

• Solution Design

• Statistical Analysis and Measurement

Required qualifications/experience

• 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.

Apply before Friday, December 13, 2019 - 22 Days left Companies may expire jobs at their own discretion. If you have not received a response within two weeks, your application was most likely unsuccessful.
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About Compuscan IT

Since our establishment in 1994, Compuscan has emerged as a reputable and trustworthy credit bureau, committed to providing total credit reporting and risk management solutions throughout the credit life-cycle. Over the years we have experienced rapid growth and have evolved from being a local credit information agency to a full service credit bureau delivering solutions to a range of institutions in markets across Africa, including: mainstream banks, microfinance institutions, microlenders, utility companies, co-operatives and credit unions. This progress reflects our commitment to developing quality services and solutions to meet commercial needs.As a full service credit bureau, we offer a range of comprehensive datasets which offer a holistic view of consumer and business information. Our data includes account/repayment information, previous enquiries, identification and contactability information, public domain information, collections information, default adverse information, debt restructuring information, commercial/business credit information, property information and director information. In addition, our data includes bureau scores, employment histories, bank codes, securities information, trade references and fraud information to assist businesses to make the most informed decisions.At Compuscan, we are passionate about consumer and business credit data and understand the immense importance of quality data to the integrity of the credit industry and the growth of the economy as a whole.