Total 4 java developer job vacancies in Finance / Banking / Insurance category in Singapore

Your Impact

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally. From collaborative work spaces and mindfulness classes to working from home and flexible work options, we offer our people the support they need to reach their goals in and outside the office.

We are looking for a talented and hands on engineer who can drive the deployment and development the FICC Risk Platform, a global strategic infrastructure for real-time risk computation with distributed computing, as part of the Portfolio Analytics engineering team. The FICC Risk Platform is a highly distributed and resilient state machine that is relied on by Traders and Quants in FICC to provide up-to-date risk data for all their transactions. Candidate will be interacting with global stakeholders in Trading, Quants, and Engineers on a regular basis to understand business requirements, design and implement quality solutions.

How will you fulfill your potential?

• The candidate is responsible for designing and implementing the firm’s strategic vision for the FICC technology stack
• You will deliver value by architecting scalable solutions that are primed for reuse across the revenue generating divisions
• Proactively engages with stakeholders through the SDLC of the projects
• Works with global teams on projects that will have global impact
• Influences current and future architecture choices as we are looking to adopt more modern platforms
• Demonstrates excellent communication skills including experience speaking to technical and business audiences and working globally

Basic Qualifications

• 5+ years of professional Java/Python development experience
• Bachelor’s degree in Computer Science, Electrical Engineering or related technical discipline
• Excellent understanding of data structures, algorithms, and designing for performance
• Familiarity with automated testing, DevOps and Continuous Deployment
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a team
• Strong communication skills, experience working with end users

Preferred Qualifications

• Experience in NoSQL data stores, e.g. Cassandra or MongoDB
• Experience with distributed, event driven systems and using messaging protocols
• Experience in modern message oriented middleware, e.g. Kafka or RabbitMQ
• Experience in building and debugging distributed systems
• Experience in developing software for Akka or Vertx
• Experience in SRE

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Your Impact

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally. From collaborative work spaces and mindfulness classes to working from home and flexible work options, we offer our people the support they need to reach their goals in and outside the office.

We are looking for a talented and hands on engineer who can drive the deployment and development the FICC Risk Platform, a global strategic infrastructure for real-time risk computation with distributed computing, as part of the Portfolio Analytics engineering team. The FICC Risk Platform is a highly distributed and resilient state machine that is relied on by Traders and Quants in FICC to provide up-to-date risk data for all their transactions. Candidate will be interacting with global stakeholders in Trading, Quants, and Engineers on a regular basis to understand business requirements, design and implement quality solutions.

How will you fulfill your potential?

• The candidate is responsible for designing and implementing the firm’s strategic vision for the FICC technology stack
• You will deliver value by architecting scalable solutions that are primed for reuse across the revenue generating divisions
• Proactively engages with stakeholders through the SDLC of the projects
• Works with global teams on projects that will have global impact
• Influences current and future architecture choices as we are looking to adopt more modern platforms
• Demonstrates excellent communication skills including experience speaking to technical and business audiences and working globally

Basic Qualifications

• 2+ years of professional Java/Python development experience
• Bachelor’s degree in Computer Science, Electrical Engineering or related technical discipline
• Excellent understanding of data structures, algorithms, and designing for performance
• Familiarity with automated testing, DevOps and Continuous Deployment
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a team
• Strong communication skills, experience working with end users

Preferred Qualifications

• Experience in NoSQL data stores, e.g. Cassandra or MongoDB
• Experience with distributed, event driven systems and using messaging protocols
• Experience in modern message oriented middleware, e.g. Kafka or RabbitMQ
• Experience in building and debugging distributed systems
• Experience in developing software for Akka or Vertx
• Experience in SRE

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

What we do

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical centre of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

Unique Opportunity

This is a unique opportunity to work on converging multiple legacy systems and execute on the Ledgers strategy to move a single Unified Data source and provide ledgers as a service across the firm. Our current technology drives processing across the firm, and we have started a multi-year convergence program to deliver a single, highly scalable platform for providing core ledgers services, to enable business growth with reduced operational costs.

We’re looking for highly technical, commercially minded, software engineer who enjoy seeing things done differently to join us on this exciting journey.

About the team

Ledgers Engineering is a part of a growing team in Singapore that collaborates with colleagues around the world to deliver our new strategic post trade portfolio platform and build the next generation platform.

We are a fully data centric function that is responsible for managing the Books and Records for the firm. All client activities and position management are taken care by our highly scalable systems that deal with about 100 million transactions daily. The data we produce is distributed to numerous consumers for performing various business functions.

Our strategic new platform is a brand new/greenfield initiative to converge all of our businesses onto a single technology platform, to proving much better scalability, improved resiliency and reducing the time needed to develop and deliver new features. The programme is sponsored by our division’s senior leadership and is one of the key strategic deliveries of the next few years.

All our projects are cross-location and cross-function. We work directly with Front office, Mid-office, Operations, Legal, Tax, Client Reporting and Regulatory Reporting and Engineering colleagues directly and that gives the opportunity to learn about the financial markets and asset classes.

The team is also responsible for generating the client statements, interest calculations and anomaly detection from daily activity across all Goldman Sachs. We use leading edge technologies for the data management and distribution such as Apache Iceberg and Snowflake. The anomaly detection platform uses bigdata technologies for detecting and reporting trade anomalies from the significant volume of data.

The applications and functions are going through complete technology transformation now with vision of resiliency, future sustainability and scalability to manage ever-increasing data volumes and be part of this journey of evolution for the next generation data centric platforms.

Highly-developed analytical and technical skills, combined with a commercial and collaborative approach to problem solving, are essential to our success.

RESPONSIBILITIES AND QUALIFICATIONS

Key Responsibilities

· Develop, test, and maintain Java-based applications, ensuring high performance and responsiveness.

· Collaborate with business analysts and other developers to define software requirements and solutions.

· Design, build, and maintain efficient, reusable, and reliable code.

· Troubleshoot and debug application issues, identifying and resolving performance bottlenecks.

· Contribute to all phases of the software development lifecycle.

· Write clean, test-driven scalable, and well-documented code.

· Participate in code reviews to maintain code quality and standards.

· Stay up-to-date with the latest industry trends, technologies, and best practices.

Required Skills:

· Java Programming: Strong knowledge of Java, with a good understanding of OOP principles.

· Frameworks: Experience with Java frameworks, such as Spring Boot.

· Database Management: Proficiency in SQL and experience with databases like DB2 and Sybase.

· Version Control: Experience with version control tools, such as Git.

· APIs: Knowledge of RESTful APIs and web services.

· Testing: Familiarity with unit testing frameworks, such as JUnit.

· Agile Methodology: Experience working in Agile/Scrum environments.

· Strong analytical and problem-solving skills.

· Excellent verbal and written communication skills.

Preferred Skills:

· Knowledge of microservices architecture.

· Knowledge of bigdata technologies like Hadoop and Spark

· Experience in event streaming technologies like Kafka.

· Familiarity with cloud platforms like AWS or GCP.

· Experience with DevOps practices, including CI/CD.

· Exposure to NoSQL databases, such as MongoDB or ElasticSearch.

· Knowledge of front-end frameworks like Angular or React.

Qualifications:

· Bachelor’s degree in Computer Science, Engineering, or a related field.

· Proven work experience in Java development (3 years or more)

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm wide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2021. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical centre of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

Unique Opportunity

This is a unique opportunity to work on converging multiple legacy systems and execute on the Ledgers strategy to move a single Unified Data source and provide ledgers as a service across the firm. Our current technology drives processing across the firm, and we have started a multi-year convergence program to deliver a single, highly scalable platform for providing core ledgers services, to enable business growth with reduced operational costs.

We’re looking for highly technical, commercially minded, software engineer who enjoy seeing things done differently to join us on this exciting journey.

About the team

Ledgers Engineering is a part of a growing team in Singapore that collaborates with colleagues around the world to deliver our new strategic post trade portfolio platform and build the next generation platform.

We are a fully data centric function that is responsible for managing the Books and Records for the firm. All client activities and position management are taken care by our highly scalable systems that deal with about 100 million transactions daily. The data we produce is distributed to numerous consumers for performing various business functions.

Our strategic new platform is a brand new/greenfield initiative to converge all of our businesses onto a single technology platform, to proving much better scalability, improved resiliency and reducing the time needed to develop and deliver new features. The programme is sponsored by our division’s senior leadership and is one of the key strategic deliveries of the next few years.

All our projects are cross-location and cross-function. We work directly with Front office, Mid-office, Operations, Legal, Tax, Client Reporting and Regulatory Reporting and Engineering colleagues directly and that gives the opportunity to learn about the financial markets and asset classes.

The team is also responsible for generating the client statements, interest calculations and anomaly detection from daily activity across all Goldman Sachs. We use leading edge technologies for the data management and distribution such as Apache Iceberg and Snowflake. The anomaly detection platform uses bigdata technologies for detecting and reporting trade anomalies from the significant volume of data.

The applications and functions are going through complete technology transformation now with vision of resiliency, future sustainability and scalability to manage ever-increasing data volumes and be part of this journey of evolution for the next generation data centric platforms.

Highly-developed analytical and technical skills, combined with a commercial and collaborative approach to problem solving, are essential to our success.

RESPONSIBILITIES AND QUALIFICATIONS

Key Responsibilities

· Develop, test, and maintain Java-based applications, ensuring high performance and responsiveness.

· Collaborate with business analysts and other developers to define software requirements and solutions.

· Design, build, and maintain efficient, reusable, and reliable code.

· Troubleshoot and debug application issues, identifying and resolving performance bottlenecks.

· Contribute to all phases of the software development lifecycle.

· Write clean, test-driven scalable, and well-documented code.

· Participate in code reviews to maintain code quality and standards.

· Stay up-to-date with the latest industry trends, technologies, and best practices.

Required Skills:

· Java Programming: Strong knowledge of Java, with a good understanding of OOP principles.

· Frameworks: Experience with Java frameworks, such as Spring Boot.

· Database Management: Proficiency in SQL and experience with databases like DB2 and Sybase.

· Version Control: Experience with version control tools, such as Git.

· APIs: Knowledge of RESTful APIs and web services.

· Testing: Familiarity with unit testing frameworks, such as JUnit.

· Agile Methodology: Experience working in Agile/Scrum environments.

· Strong analytical and problem-solving skills.

· Excellent verbal and written communication skills.

Preferred Skills:

· Knowledge of microservices architecture.

· Knowledge of bigdata technologies like Hadoop and Spark

· Experience in event streaming technologies like Kafka.

· Familiarity with cloud platforms like AWS or GCP.

· Experience with DevOps practices, including CI/CD.

· Exposure to NoSQL databases, such as MongoDB or ElasticSearch.

· Knowledge of front-end frameworks like Angular or React.

Qualifications:

· Bachelor’s degree in Computer Science, Engineering, or a related field.

· Proven work experience in Java development (1+ years or more)

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm wide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2021. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity