Intern | Risk & Regulatory Advisory - - 16016

Ogólne informacje

Stanowisko

Intern | Risk & Regulatory Advisory

Wymiar czasu pracy

Praktyki/Staż

Miasto

Zagrzeb

Kraj

Chorwacja

Dział

Risk Advisory

Zespół

Financial Industry Risk & Regulatory

Obszar zainteresowania

Financial Services Industry, Risk & Regulatory Management

Tryb pracy

Hybrydowy

Opis i wymagania

Who we are looking for

You are enrolled in Bachelor’s or Master’s studies in quantitative fields such as Mathematics, Physics, Statistics, Business or Financial Engineering, Economics or Computer Science.

You are willing to work at least 25 hours per week besides your studies.
You have basic understanding and have applied programming languages such as Python, R, MATLAB or SAS/SQL.

You are willing to gain experience in quantitative modelling and/or validation, and understanding of business processes, regulatory requirements, data and technology controls, internal control risk management in financial services.

Soft skills:
- You have strong analytical thinking and a drive for continuous learning and improvement, tech-savvy
- You have high capacity for solving challenging business problems using quantitative and qualitative problem-solving skills
- You have ability to work in a collaborative, team-based environment
- You have very good writing and presentation skills including advanced English knowledge
- You are up for a challenge to become part of the largest professional services firm in the world

Your future role

You will join a team of experienced risk modelers in the team Regulatory and Financial Risk where collaboration and communication are at the heart of our way of working. You are curious and analytical, with a natural drive to excel. You love to work in international environment and collaborate cross-border. Amongst other, your activities will include:

Model Development: Support design and development of quantitative models for risk management, utilizing various techniques and testing machine learning.
Model Validation: Support or conduct rigorous back-testing and validation of models, ensuring their robustness and alignment with regulation and market conditions.
Data Analysis & Interpretation: Analyze large datasets to identify trends, relationships, and patterns. Work with financial and market data to derive insights for model improvement and validation.
Process Optimization: Analyze process workflow and advise on improvements to facilitate experience in model application, maintenance, and internal and regulatory reporting.
Research & Innovation: Stay up-to-date with the latest research in quantitative finance, machine learning, and statistical techniques. Apply new methodologies and tools to improve existing models and develop new strategies.

Our Risk, Regulatory & Financial Crime practice is a global leader in helping clients manage risk and uncertainty from the boardroom to the network. We provide a broad array of services that allow our clients around the world to better measure, manage and control risk to enhance the reliability of systems and processes throughout their organization.

You will further develop your expertise across a broad range of quantitative applications in risk
As you grow, you will gradually be given more responsibility and various assignments working directly with senior members of our client teams.

As you become proficient in various skill sets, you will coach your colleagues and continue to enhance your competencies.

About Deloitte

For over 175 years, we have worked with leaders around the world—from the Global 500® to private businesses—to help them build better futures. To support their people. To succeed. All while caring for our communities. With a workforce of 467,000 people – made up of the industry’s greatest minds, we continue to shape the future by delivering real, measurable results. We go beyond talk—we act. Deloitte is the leading professional firm in the world.

About the team

Deloitte Croatia’s Regulatory & Financial Risk team is a part of regional department at Deloitte Central Europe – cluster South. It helps organizations identify the risks impacting their business and implement effective and efficient processes to measure and manage these risks (mainly market, credit and liquidity risks, but also novel risks). To this end, the team leverages its expertise in data analytics, machine learning techniques and process optimization, combined with a strong understanding of the regulatory and business context.

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