CBQ Based on Job Description

Question 1

Situation where you you had to apply quantiative skills to solve a complex problem?

Answer 1

Situation:

During my academic journey at the University of Warwick, I encountered a specific coursework project that required the application of mathematical and Statistical techniques.

Task:

The task was to analyze and model the behavior of financial markets, particularly the fluctuations in stock prices, using mathematical and stochastic processes.

Action:

1) Understanding the Problem: I started by thoroughly grasping the problem statement, which involved analyzing historical data of a specific stock index to predict its future movements.

2) Data Collection: I gathered historical stock price data, including daily closing prices, trading volumes, and relevant financial indicators.

3) Statistical Analysis: I utilized statistical programming and incorporated stochastic differential equations to account for random fluctuations in stock prices, introducing volatility and uncertainty into the model.

4) Validation and Calibration: To ensure accuracy, I validated the model by comparing its predictions with actual stock price movements over a specific period. Calibration was performed to fine-tune model parameters.

5) Risk Analysis: As part of the project, I conducted a risk analysis to evaluate the potential downside and volatility associated with different investment strategies based on the model’s predictions.

This shows the systematic approach I took to analyze and predict stock index movements, showing my skills in data analysis, statistical modeling, and risk assessment, which are highly relevant to a role as a Risk Analyst.

Result:

The project resulted in a comprehensive analysis of stock price movements and a model that could be used for short-term prediction and risk assessment. .

• Improved Understanding:

The project significantly enhanced my understanding of mathematical modeling and stochastic processes in the context of financial markets.

Quantitative Problem Solving: It demonstrated my ability to apply quantitative problem-solving techniques to real-world scenarios.

This experience underscores my proficiency in mathematical and stochastic processes, skills that are directly relevant to a role such as a Risk Analyst at Cincinnati Global, where quantitative analysis and modeling are essential for assessing and managing financial risks.

Question 2

An example of when you had to collaborate with colleagues from different departments to achieve a common goal

Answer 2

Situation/Task:
EY Internship was involved in a project where I had to collaborate with colleagues from different departments to conduct an audit to identify financial discrprencies and control weaknesses.

Action:
Cross Functional Collabration: Inititated collabration with collagues from various departments including finance and compliance and we organised to hold meetings in order to allign our efforts.

Audit Planning: We planned how we would split the work and what each team needed to do.

Result:

Effective Audit: The joint effort amoung various departments resulted in a excellent audit which identified financial discrepencies and controlled weaknesses resulting in the client becoming satsified aswell as matching our regulatory compliance.

Question 3

How have you used statistical programing to analyse and create reports

Answer 3

Situation: During my time at University I remember a particular instance where we had to analyze data sets and service meaningful insights.

Task: The task was to observe data sets and then derive meaningful insights and then present these insights in a clear and structured format.

Action:
1) Data Manipulation: This involved collecting the data and then cleaning the data which involved dealing with missing values, removing duplicates and ensuring data consistency.

2) Data Analysis: I analysed the data using excel’s various functions including calculating key metrics, creating pivot tables and inserting visual representations.

3) Data Visualisation and report creation: Excels features allowed me to create a visual representation and allowed me to strucute the data in a way that meant it could to go into the report creation.

Result:
Complex informations was broken down in a way others could read an understand making them more informed about what the data is showing.