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Quantitative Risk Management Internship

A2cloud
Pay: Competitive
Internship Type:
Length of Scheme: Unknown
Deadline date: Unknown
Location: London London United Kingdom
Category: Internship
Available from: Immediately
Finishes on: Ongoing Position
Type of work: Full Time, Indoor , Daytime Work
Job reference: E06329643
Telecommunications 2024-04-22 2024-05-05

Job Description

Job Description: We are seeking a highly motivated and analytically minded Quantitative Risk Management Intern to join our

team. As a Quantitative Risk Management Intern, you will work closely with our risk management team to develop and implement quantitative models and methodologies to measure and analyse financial risks. This internship will provide you with valuable hands-on experience in quantitative risk analysis within a dynamic and fast-paced industry. Responsibilities:

Assist in developing and implementing quantitative risk models and methodologies to measure and analyse financial risks across various business units. Collect and analyse financial data to identify and quantify risk exposures and their potential impact on the organisations financial performance. Support the team in performing statistical analysis and back-testing of risk models to ensure accuracy and effectiveness. Collaborate with cross-functional teams to gather data and inputs for risk models, ensuring data integrity and accuracy. Assist in monitoring and reporting on key risk indicators, including VaR (Value-at-Risk), stress testing, and scenario analysis. Participate in the development and enhancement of risk management tools, systems, and processes. Stay up-to-date with industry trends, regulatory changes, and best practices in quantitative risk management. Support the risk management team in ad-hoc projects and assignments as needed

Requirements:

Currently pursuing a Bachelor's or Master's degree in Finance, Mathematics, Statistics, or a related field. Strong analytical and quantitative skills with proficiency in statistical analysis and modeling techniques. Solid understanding of financial markets, products, and risk management concepts. Proficient in programming languages such as Python, R, or MATLAB for quantitative analysis. Knowledge of financial derivatives, pricing models, and risk management frameworks. Excellent written and verbal communication skills. Detail-oriented with the ability to prioritize tasks and manage time effectively. Strong problem-solving skills and the ability to think critically. Proficient in Microsoft Excel, PowerPoint, and other relevant software applications. Previous coursework or experience in quantitative finance, risk management, or related fields is a plus.

Benefits:

Gain practical experience in quantitative risk management and financial analysis. Work closely with a team of experienced professionals in the field. Exposure to a dynamic and fast-paced industry. Opportunity to develop analytical, programming, and communication skills. Networking opportunities within the organization. Competitive compensation for the duration of the internship.

To apply, please submit your resume, a cover letter, and any relevant coursework or project work to [email protected]. We look forward to reviewing your application!

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