Quantitative Modeler Vice President in Budapest, Hungary |

In the Investment Management division, we deliver active investment strategies across public and private markets and custom solutions to institutional and individual investors. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Investment Management Internship Program During this off-cycle internship you will have the opportunity to get insight into Investment and Risk Models and Quantitative Tools at a top financial Firm. You will join the Quantitative Research and Model Review (QRMR) team within Investment Management (IM) for a 612-month period and can work in a flexible work arrangement, 30/40 hours per week. We offer a supportive and vibrant multinational environment in an inspiring international team, where you can experience a collaborative culture and continuous development opportunities. You can also participate in the Firms networking events. Roles and responsibilities: Review of portfolio construction, research, pricing, or risk models used by IM Perform testing to support methodology development, conduct sensitivity studies, assess the model behaviour and stability, and perform back tests Assist with model governance and model review project management tasks Support the quantitative research and model/tool development efforts of the Global Risk and Analysis (GRA) team Requirements: Ongoing BSc or MSc studies in Business Administration & Management, Business Informatics, International Economics, Applied Economics or a related field, with a graduation date of 2027/2028 Basic understanding of Excel Coding experience in Python, SQL is preferred, experience with data visualization tools (e.g. Tableau) is a plus Solid financial assets or market knowledge is a plus Fluency in English, both verbal and written Demonstrated ability to maintain a high level of accuracy and attention to detail in all tasks If you are interested in the above opportunity, please apply here by submitting your English CV. Although application deadlines are in place, you are advised to apply early as we recruit on an ongoing basis. What you can expect from Morgan Stanley: At Morgan Stanley, we raise, manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - arent just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fuelled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Business-Operations-Specialists

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DevOps Engineer with Application Support

🏢 11172 Citibank Europe plc Hungary · 📍 Budapest, Budapest, Hungary

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Data Risk Officer, Risk Appetite Planning, Metrics and Analysis - Vice President

🏢 Citigroup · 📍 Budapest, Hungary, Hungary

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Data Risk Officer, Risk Appetite Planning, Metrics and Analysis - Vice President

🏢 Citigroup · 📍 Budapest, Hungary, Hungary

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Hungarian CAT II Linguist

🏢 Valiant Integrated Services · 📍 Budapest, Budapest, Hungary

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Python Financial Model Engineer, Associate

🏢 BlackRock · 📍 Budapest, Hungary, Hungary

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Markets Quantitative Analysis Business Manager

🏢 11172 Citibank Europe plc Hungary · 📍 Budapest, Budapest, Hungary

Full time Business-Operations-Specialists

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Python Financial Model Engineer, Associate

🏢 BlackRock · 📍 Budapest, Hungary, Hungary

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🏢 Eaton Corporation · 📍 Budapest, Hungary, Hungary

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🏢 Eaton Corporation · 📍 Budapest, Hungary, Hungary

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Data Risk Officer, Risk Appetite Planning, Metrics and Analysis - Senior Vice President

🏢 Citigroup · 📍 Budapest, Hungary, Hungary

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Data Risk Officer, Risk Appetite Planning, Metrics and Analysis - Senior Vice President

🏢 Citigroup · 📍 Budapest, Hungary, Hungary

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DevOps Engineer with Application Support

🏢 Citigroup · 📍 Budapest, Hungary, Hungary

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2026 Quantitative Finance Developer Internship (Budapest)

🏢 Morgan Stanley · 📍 Budapest, Budapest, Hungary

In the Fixed Income division, we work in fast-paced and constantly changing global markets to assess and manage risk, trade securities, manage relationships with clients, and structure and execute innovative transactions. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Quantitative Finance Developer Internship During this internship you will have the opportunity to gain insight into the world of investment banking while taking part in high impact projects with peers from New York and London. You will join the Quantitative Development team and can work in a flexible work arrangement, 20/30/40 hours per week. We offer a supportive and vibrant multinational environment in an inspiring international team, where you can experience a collaborative culture and continuous development opportunities. You can participate in the Firms networking events and you will have the opportunity to extend your internship or take a full-time offer upon graduation. Roles and responsibilities: Build models to calculate prices and risks for different assets using a statistical techniques or Monte Carlo simulations, Apply machine learning techniques to implement automated trading bots or build web applications to monitor market movements, Provide detailed performance reports to the management. Requirements: Ongoing studies (BSc , MSc) in Computer Science, Mathematics, Physics, Engineering, Economics or similar disciplines Hands-on experience in any widespread programming language (Python, C++, Java, C, JavaScript, Perl, Ruby, PHP, R etc.) Fluency in English, both verbal and written Affinity towards mathematics, crunching numbers and visualizing relations between them If you are interested in the above opportunity, please apply here by submitting your English CV. Although application deadlines are in place, you are advised to apply early as we recruit on an ongoing basis. What you can expect from Morgan Stanley: At Morgan Stanley, we raise, manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - arent just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Mathematical-Science-Occupations

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IT Project Manager - Maternity Cover

🏢 Mito · 📍 Budapest, Budapest, Hungary

Full time Computer-Occupations

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2026 Risk Management Internship Program - Quantitative (Budapest)

🏢 Morgan Stanley · 📍 Budapest, Budapest, Hungary

In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyse and monitor risks and lead key regulatory initiatives. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Risk Management Internship Program Quantitative During this internship you will have the opportunity to get insight into how Risk Management is working at a top financial Firm. You will join the Risk Analytics or Model Risk Management teams and will be able to work in a flexible work arrangement, 20-40 hours per week. We offer a supportive and vibrant multinational environment in an inspiring international team, where you can experience a collaborative culture and continuous development opportunities. You can participate in the Firms networking events and you will have the opportunity to extend your internship or you may take a full-time offer upon graduation. Roles and Responsibilities: Develop, maintain and monitor the Firms market risk models (Value at Risk, Incremental Risk Charge and Comprehensive Risk Measure) Perform econometric analyses to support methodology development, conduct sensitivity studies, assess the model behavior and stability and perform back tests Develop models for portfolio analyses purpose, such as credit limit setting and loss reserve Perform independent review of pricing or risk models used by Morgan Stanley Requirements: Ongoing BSc or above studies in Mathematics, Physics, Finance or Economics Quantitative background, good analytical and numerical skills Solid probability knowledge Statistical skills especially in hypothesis testing, regression and discriminant analyses is a plus Fluency in English, both verbal and written 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. What you can expect from Morgan Stanley At Morgan Stanley, we raise, manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - arent just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Financial-Specialists

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C

DevOps Engineer with Application Support

🏢 Citigroup · 📍 Budapest, Hungary, Hungary

Full-time other-general

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C

Markets Quantitative Analysis Business Manager

🏢 Citigroup · 📍 Budapest, Hungary, Hungary

Full-time other-general

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C

Markets Quantitative Analysis Business Manager

🏢 Citigroup · 📍 Budapest, Hungary, Hungary

Full-time other-general

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Quantitative Modeler Vice President Jobs in Budapest

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