Job Description
Job Summary:
We are seeking an experienced IT Quant to join our Risk Management analytics team. As an IT Quant, you will be responsible for developing, implementing, and maintaining complex quantitative models and algorithms to support risk management. You will work closely with risk quants to design and implement efficient and scalable technology solutions.
Key Responsibilities:
• Model Development: Design, develop, and implement quantitative models and algorithms using programming languages like Python.
• Contribute to the development of risk management models and tools, ensuring compliance with regulatory requirements.
• Technology Implementation: Collaborate with IT teams to implement models and algorithms in production environments, ensuring scalability and performance.
• Data Management: Develop and maintain databases, data feeds, and data pipelines to support quantitative analysis.
• Testing and Quality Assurance: Ensure models and algorithms are thoroughly tested and validated before deployment.
• Documentation: Maintain accurate documentation of models, algorithms, and technology implementations.
Requirements:
• Education: Advanced degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
• Experience: 8+ years of experience in a quantitative analytics in a banking or financial institution.
• Thorough understanding of mathematical modeling, multi-variate statistics, linear algebra and the ability to explain and justify modeling choices in qualitative terms
• Have experience building pricing and scenario models for market and credit risk function within a bank/financial organization
• Programming Skills: Proficiency in programming languages like Python, quantlib and experience with databases and data feeds.
• Quantitative Knowledge: Strong understanding of quantitative finance concepts, including risk management, derivatives, and statistical modeling.
• Communication: Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Nice to Have:
• Cloud Computing: Experience with cloud computing platforms like AWS or Azure.
• Machine Learning: Knowledge of machine learning algorithms and their applications in finance.
• Agile Methodologies: Familiarity with Agile development methodologies and version control systems like Git.
Why this role is important to us
Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.
Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.
About State Street
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, ****** orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.
State Street is an equal opportunity and affirmative action employer.
Discover more at StateStreet.com/careers
We are seeking an experienced IT Quant to join our Risk Management analytics team. As an IT Quant, you will be responsible for developing, implementing, and maintaining complex quantitative models and algorithms to support risk management. You will work closely with risk quants to design and implement efficient and scalable technology solutions.
Key Responsibilities:
• Model Development: Design, develop, and implement quantitative models and algorithms using programming languages like Python.
• Contribute to the development of risk management models and tools, ensuring compliance with regulatory requirements.
• Technology Implementation: Collaborate with IT teams to implement models and algorithms in production environments, ensuring scalability and performance.
• Data Management: Develop and maintain databases, data feeds, and data pipelines to support quantitative analysis.
• Testing and Quality Assurance: Ensure models and algorithms are thoroughly tested and validated before deployment.
• Documentation: Maintain accurate documentation of models, algorithms, and technology implementations.
Requirements:
• Education: Advanced degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
• Experience: 8+ years of experience in a quantitative analytics in a banking or financial institution.
• Thorough understanding of mathematical modeling, multi-variate statistics, linear algebra and the ability to explain and justify modeling choices in qualitative terms
• Have experience building pricing and scenario models for market and credit risk function within a bank/financial organization
• Programming Skills: Proficiency in programming languages like Python, quantlib and experience with databases and data feeds.
• Quantitative Knowledge: Strong understanding of quantitative finance concepts, including risk management, derivatives, and statistical modeling.
• Communication: Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Nice to Have:
• Cloud Computing: Experience with cloud computing platforms like AWS or Azure.
• Machine Learning: Knowledge of machine learning algorithms and their applications in finance.
• Agile Methodologies: Familiarity with Agile development methodologies and version control systems like Git.
Why this role is important to us
Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.
Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.
About State Street
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, ****** orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.
State Street is an equal opportunity and affirmative action employer.
Discover more at StateStreet.com/careers
💡 Quick Summary
Seeking a career-building opportunity? The IT Quantitative Analyst | Technology | Assistant Vice President position is now open for candidates interested in the Helper Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Helper Jobs is a plus.
