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Predictive Modelling Skills Assessment Test
Test duration:
30
min
No. of questions:
28
Level of experience:
Mid/Senior/Experienced

Predictive Modelling Skills Assessment Test

This skills test helps you evaluate your candidates' and employees' ability to predict outcomes or future events by analysing current or past input data patterns. You can use it to assess individuals in roles like Financial Analysts, Quantitative Analysts, and other roles.

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Predictive Modelling Skills Assessment Test

It is a crucial component of predictive analytics which uses statistics, big data mining, artificial intelligence, and machine learning to analyse huge data volumes, etc. Recognizing trends and patterns in historical data is another requirement of the role. It also helps detect fraud and make calculated investment decisions.

‍Why use iMocha's Predictive Modelling skills test?‍

With iMocha, you can create highly customizable assessments to include various skills such as analytical thinking, problem-solving skills and more in one test and prevent candidates and employees from appearing for multiple evaluations. You can use this test to measure skill competency in core predictive analytics topic, compare it against industry standards, and accordingly design specific training programs to empower your L&D initiatives.

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How it works

Test Summary

The assessment test helps to screen individuals who possess the following traits:

  • Solid quantitative skills and the ability to analyse and interpret financial data and use statistical methods or mathematical models for prediction.
  • Strong analytical thinking skills and the ability to recognize trends and patterns in financial data.
  • Knowledge of programming languages, statistical software, and other tools used in predictive modelling in finance.
  • Basic knowledge of financial markets, instruments, and investment strategies.

After the test, you get a customized performance report that gives you a summary of the candidate's and employee's strengths and skill gaps. Our test also features AI-powered cheating prevention mechanisms like video and image proctoring that eliminates any scope of cheating or malpractice.

Useful for hiring
  • Quantitative Analyst
  • Risk Analyst
  • Financial Analyst
  • Portfolio Manager
Test Duration
30
min
No. of Questions
28
Level of Expertise
Mid/Senior/Experienced
Topics Covered
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Sample Question
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Question:

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Test Report
You can customize this test by

Setting the difficulty level of the test

Choose easy, medium, or tricky questions from our skill libraries to assess candidates of different experience levels.

Combining multiple skills into one test

Add multiple skills in a single test to create an effective assessment and assess multiple skills together.

Adding your own
questions to the test

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Requesting a tailor-made test

Receive a tailored assessment created by our subject matter experts to ensure adequate screening.
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FAQ
How is this skills test customized?
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iMocha's  skills test offers several customizable features to create a positive assessment experience. You can choose the type of questions to include to assess job-specific skills like claims management, fraud detection, stock price forecasting, data analytics, statistical skills, and more. You can also set the difficulty level of the test based on the requirement of entry- or mid-level roles in the company.

What are the most common interview questions related to Predictive Modelling in finance?
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Some of the common questions asked are:

  • What are the applications of predictive modeling in finance?
  • What are the important steps involved in a modeling project?
  • Explain the meaning of working capital and the process of forecasting it.
  • How do you forecast cost and revenue?
  • From where should the historical financial statements be picked?

If you are looking for a more custom set of questions, iMocha can help!

What are the required skillsets to work on Predictive Modeling for finance?
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You can consider these hard as well as soft skills while hiring individuals in this field:

Hard Skills:

  • Risk Management and Fraud Detection
  • Resource Allocation and Budgeting
  • Cash flow and Revenue Forecasting
  • Accounts Receivable Analytics and Mobile Analytics for Working Capital Management
  • Programming Languages
  • Statistical software and tools
  • Customer Payment Predictions

Soft Skills:

  • Problem-Solving Ability
  • Critical Thinking
  • Attention to detail