🏢 11172 Citibank Europe plc Hungary
📍 Budapest, Budapest, Hungary
💼 Full time
Full time
Business-Operations-Specialists
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🏢 11172 Citibank Europe plc Hungary
📍 Budapest, Budapest, Hungary
💼 Full time
Full time
Computer-Occupations
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🏢 11172 Citibank Europe plc Hungary
📍 Budapest, Budapest, Hungary
💼 Full time
Full time
Computer-Occupations
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🏢 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 - Non-Quantitative During this internship you will have the opportunity to gain insights into how Non-Quantitative Risk Management works at a top financial Firm. You will join the Credit Risk, Liquidity Risk, Risk Capital, Reporting, Risk Data Strategy, Market Risk or Portfolio & Stress Testing teams and 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: Learn how risk management is performed at Morgan Stanley Work at the following based on the area you choose: Analyse the financial impact of stressed market conditions Analyse variances in capital requirements Take part in developing market and credit risk reports and processes Provide business analysis and process improvement support Identify, measure, and analyse the aggregate portfolio risk in stress scenarios Perform company and industry level financial analysis of Morgan Stanleys counterparties to assess their creditworthiness Monitor key news across financial markets and relevant industries Prepare portfolio stress testing analysis of credit risk exposures on lending and derivatives products Participate in innovative projects related to data analysis, visualization, and process automation Requirements: Financial Risk and Capital: if you are studying Finance, Economics, Business or related courses and interested in Finance Data and Reporting: if you are studying Data Science, Business Analytics, Business Informatics or related courses Good analytical and numerical skills Microsoft Office skills, particularly Excel Interest in Financial markets and products Programming and coding skills (SQL/VBA/Python) may be considered an advantage in (in Data and Reporting area) 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.
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 - Non-Quantitative During this internship you will have the opportunity to gain insights into how Non-Quantitative Risk Management works at a top financial Firm. You will join the Credit Risk, Liquidity Risk, Risk Capital, Reporting, Risk Data Strategy, Market Risk or Portfolio & Stress Testing teams and 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: Learn how risk management is performed at Morgan Stanley Work at the following based on the area you choose: Analyse the financial impact of stressed market conditions Analyse variances in capital requirements Take part in developing market and credit risk reports and processes Provide business analysis and process improvement support Identify, measure, and analyse the aggregate portfolio risk in stress scenarios Perform company and industry level financial analysis of Morgan Stanleys counterparties to assess their creditworthiness Monitor key news across financial markets and relevant industries Prepare portfolio stress testing analysis of credit risk exposures on lending and derivatives products Participate in innovative projects related to data analysis, visualization, and process automation Requirements: Financial Risk and Capital: if you are studying Finance, Economics, Business or related courses and interested in Finance Data and Reporting: if you are studying Data Science, Business Analytics, Business Informatics or related courses Good analytical and numerical skills Microsoft Office skills, particularly Excel Interest in Financial markets and products Programming and coding skills (SQL/VBA/Python) may be considered an advantage in (in Data and Reporting area) 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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🏢 Vodafone
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Business-Operations-Specialists
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🏢 Morgan Stanley
📍 Budapest, 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.
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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🏢 Asteria Search
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Business-Operations-Specialists
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🏢 Morgan Stanley
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Financial-Specialists
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🏢 Randstad Hungary
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Business-Operations-Specialists
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🏢 FrieslandCampina
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Operations-Specialties-Managers
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🏢 Citi
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Financial-Specialists
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🏢 Morgan Stanley
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Financial-Specialists
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🏢 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.
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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🏢 Randstad Hungary
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Business-Operations-Specialists
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🏢 Tech People
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Advertising,-Marketing,-Promotions,-Public-Relations,-and-Sales-Managers
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🏢 Rheinmetall Electronics Hungary Kft.
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Advertising,-Marketing,-Promotions,-Public-Relations,-and-Sales-Managers
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🏢 Iron Mountain
📍 Budapest, Budapest, Hungary
💼 Full time
Full time
Business-Operations-Specialists
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🏢 Aliz
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Computer-Occupations
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🏢 Citi
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Financial-Specialists
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🏢 11172 Citibank Europe plc Hungary
📍 Budapest, Budapest, Hungary
💼 Full time
Full time
Mathematical-Science-Occupations
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🏢 11172 Citibank Europe plc Hungary
📍 Budapest, Budapest, Hungary
💼 Full time
Full time
Operations-Specialties-Managers
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🏢 0549 Varian Medical Systems Hungary Kft.
📍 Budapest, Budapest, Hungary
💼 Full time
Full time
Operations-Specialties-Managers
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🏢 Interactive Brokers
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Mathematical-Science-Occupations
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🏢 Diageo
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Operations-Specialties-Managers
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🏢 Schneider Electric
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Business-Operations-Specialists
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🏢 International Flavors & Fragrances
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Operations-Specialties-Managers
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🏢 International Flavors & Fragrances
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Operations-Specialties-Managers
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🏢 Diageo
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Business-Operations-Specialists
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🏢 Schneider Electric
📍 Budapest, Budapest, Hungary
💼 FULLTIME
FULLTIME
Business-Operations-Specialists
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🏢 Schneider Electric
📍 Budapest, Budapest, Hungary
💼 Full-time
Full-time
Business-Operations-Specialists
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🏢 RateHawk
📍 Budapest, Budapest, Hungary
💼 Full time
Full time
Operations-Specialties-Managers
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