Leírás
Internal Audit Off-cycle Internship
During this internship you will have the opportunity to gain insight into the world of investment banking while taking part in protecting the Firm against major risks. You will join the Model Audit Group within the Budapest Internal Audit organization and can work in a flexible work arrangement, 20-40 hours per week.
We offer:
A supportive and dynamic multinational environment within an inspiring international team
Continuous development opportunities and access to comprehensive training tools
An introduction to Morgan Stanley and a deep dive into how technology drives the investment banking business
Participation in the firm’s networking events
Flexibility and opportunity to work from home
Internship extension / Full-time offer upon graduation
You will:
Have the opportunity to choose from the following working areas, focusing on the following aspects:
Model Auditor:
Learn about a large variety of financial mathematical models used across the Firm (e.g. derivatives pricing, risk management, stress testing, capital planning and decision-support models)
Gain an understanding of processes, risks and controls within the model development and usage framework of a global financial service company
Assist in the quantitative review of models and regularly monitor model performance, including an assessment of the model development and validation process, the methodological basis and data usage of models
Cooperate with other audit groups and internal stakeholders to identify weaknesses or vulnerabilities of the models and the model development process
Data Analytics:
Learn about a large variety of data analysis and data visualization tools and techniques which are used across the Firm (e.g. Python, QlikView, Tableau, Alteryx)
Develop data solutions and generate insight from large and multiple sources of data for the Banks Internal Audit dept assurance activities.
Collaborate with colleagues in the preparation of reports with key messages about specific risk indicators and metrics.
Contribute ideas on how (new) data techniques can be applied to improve efficiency and effectiveness of audit processes.
You have:
Ongoing studies (BSc or above) in Programming, Mathematics, Physics, Finance or Economics, Data Science, Data Engineering, or similar field
Quantitative background, good analytical and numerical skills, or background in one of the widely used programming languages for data analytics (Python, R or similar)
An understanding of quantitative finance and financial mathematical models is a plus
Experience in data visualization tools such as Tableau or QlikView is a plus
Fluency in English, both verbal and written
Application process:
If you are interested in the above opportunity, please apply here by submitting your English CV.
Applications are reviewed on a rolling basis. We encourage you to apply as soon as you are ready.
About us:
Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services.
At Morgan Stanley Budapest, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas, including Technology, Mathematical Modeling, Finance, Risk Management, Wealth Management, Internal Audit and Data & Analytics from our new state-of-the-art offices near the Danube and our City Gate office in the heart of the city center.
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skill
