Knowledge Base Article

Quantexa Scoring Engineer Academy (SEA)

Key Details:

Prerequisite Assessment: Scala and Spark
Assessment: Knowledge Check / Tasks / Project Assessment
Duration: 6 weeks, full time
Max Time Allowed to Complete: 4 months
Format: eLearning & project work
Product version: 2.1.1
Training Credit Classification: Certification

Summary:

The Quantexa Scoring Engineer Academy qualifies the individual to write key detection logic that can be implemented within the Quantexa Assess framework.

This learning program takes you through five key scoring approaches and is assessed by a project-based task at the end.

An environment is provided to every user where they build a β€˜proof of concept’ Quantexa Platform.

πŸ’‘ Program versions - impact on onboarding

From an onboarding perspective, this program has two versions:

  1. For Quantexa Certified Data Engineers, and
  2. For Non-Certified Data Engineers.

Please bear this in mind when completing the enrollment process.

βœ” Ideal Candidates for the Quantexa SEA program

Each of our certification programs is complex in nature and is best suited to individuals that have an associated set of prerequisite skills and experience that will support their ability to obtain the related certification.

Here’s the recommended criteria for the Scoring Engineer Certification program.

  • Data Engineering background or the following Data Science background:
    • Programming experience (ideally using an object-orientated programming language, such as Java, Scala (preferred), R, or Python), and/or
    • Experience in more traditional data processing tools, such as SAS or SQL.
  • Exposure to fraud, financial crime, customer insight or compliance-based environments that utilize detection or predictive models.
  • Experience in the Agile development methodology.
  • Familiarity with statistical approaches and methods and their application on projects.
  • Familiarity with data mapping, meaning of relational data, and object orientation.
  • Experience in interpreting project needs and translating these into detection models.
  • Experience in explaining and presenting analytical results.
  • Experience of working with model documentation, ideally AML model governance.

Scala and Spark Pre-requisite Assessment

A fundamental understanding of Scala and Spark is key to ensuring learners' success as a Quantexa Scoring Engineer.

With this being the case, there is a Scala and Spark pre-requisite assessment that has been designed to ensure that you have the necessary skills to complete the associated Academy Tasks and, consequently, to qualify as a Quantexa Certified Scoring Engineer. 

You can learn more about it in this article: Scala Prerequisite Assessment for Quantexa Certification Academies.

Modules include:

  1. Quantexa Technical Foundations Program - Introduces the core concepts of our Platform, including Networks, Documents, Entities, and Entity Resolution, as well as some of its more technical components, namely Fusion and Assess. This Program also introduces Search, Investigation and Task components of the Quantexa UI.
  2. Environment Setup - Prepares learners for setting up their environment required for the Academy Task and explains some of the relevant tools needed.
  3. Document Scores - Covers the overall concepts of the Assess Framework and the Directed Acyclic Graph (DAG). It also explains how to implement, validate and test Document Scores.
  4. Entity Scores β€“ Introduces different Score levels, aggregation and rolling down of Entity Scores, plus testing and validation methods.
  5. Network Scores - Consists of technical implementation of Network Score, where the LiteGraph data is used as an input as an alternative to parquet files. It also introduces a different approach to test data for Unit testing.
  6. Event Scores - Teaches the approach to Event Scores using Transaction data and rolling up to a Document level, along with testing and validation methods.
  7. Dynamic Scoring β€“ Explains the main differences between Batch and Dynamic Scoring and how to implement a Score context. It also includes Batch lookup configuration and reading and writing from Elasticsearch. Also covered are the validation methods using the Dynamic end-to-end test.
  8. Academy Task - Introduces the learner to the required assessment of skills and knowledge in developing a range of Scores. The Academy Task is split into four parts covering Document, Entity, Network and Batch Lookup Scores using techniques covered in the previous modules.

Outcome: 

On successful completion learners will be awarded the Quantexa Scoring Engineer Certification (including the associated badge and certificate).

NOTE:If you wish to just review the content of the Quantexa Scoring Engineer Academy, there is a Review pathway, which you can also request to be onboarded onto.

 

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