Total 9 job vacancies by Riskinsight Consulting Pte. Ltd.

Job Description & Requirements

To coordinate between Application and Infrastructure Teams to implement the Infra Requirements for Applications

Responsibilities and Duties:

• To coordinate in setting up Infrastructure and support Application Infra needs

• Ensure Operating system, Middleware, Database performance ,Security /Bug fix patches , EOS and security (ISCD) compliance in accordance to the bank standards

• Provides hands on technical expertise (SME) , senior level technical guidance to application team as necessary

• Assist and respond promptly to incident, investigate and provide temporary/permanent resolution to incidents escalated with respect to Middleware/ Operating system/ database performance, capacity, resiliency , stability, replication and other key aspects

• Researching and recommending solution that best meet business needs and enterprise operational requirements

• Provide technical support to application development teams

• Evaluate release of Middleware, Operating system, Database components and its tools to ensure entire environment is complaint with no/minimal impact

Qualifications:

• Knowledge in Kubernetes, Docker, Jenkins, DevOps, Other Container platforms

• Knowledge in Linux OS, Wintel OS, MariaDB or Any Other databases

• Knowledge in Networking (F5 GTM/LTM or any other SLB)

• 5 Years minimum professional experience and 3 Years minimum relevant experience

• Experience in banking or financial services institutions preferred

• Will need to work in shifts and in weekends

• Team player to work with multiple teams and teammates

Kindly take note of the following details for shift work

Transport is claimable - before 7am (for morning shift 6am to 3pm) , after 11pm (afternoon shift 2pm to 11pm)

Shift Timing

a. Morning shift 6am to 3pm

b. General shift 9am to 6pm.

c. Afternoon shift 2pm to 11pm

d. Night shift 10pm to 7am.

Need to support including night shift, weekends and public holidays

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.

• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.

• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.

• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.

• Monitor and optimize data workflows for performance, reliability, and scalability.

• Document data processes and ensure best practices in data engineering are followed.

• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.

• Proficiency in Elasticsearch for search and analytics applications.

• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Strong SQL skills and experience with relational databases.

• Proficiency in Java for automation scripting.

• Hands-on experience with Cypress, Playwright, and Selenium for automation testing.

• Strong understanding of API testing and tools like Postman, REST Assured, or similar.

• Familiarity with performance testing tools like JMeter, LoadRunner, or similar.

• Solid understanding of QA methodologies, test planning, and defect management.

• Experience in testing web applications on multiple browsers and devices.

• Knowledge of CI/CD pipelines and integration with testing frameworks.

• Familiarity with version control systems like Git.

• 8 years of expertise in ETL, Data Warehousing, and Big Data technologies. The candidate should have a strong background in IBM InfoSphere DataStage, Oracle PL/SQL, Unix Scripting, and hands-on experience with Moody’s tools.

• The role requires in-depth knowledge of data extraction, transformation, and loading (ETL) processes, as well as experience with CI/CD and automation tools to support efficient data operations. This is an opportunity to contribute to large-scale data projects and work closely with cross-functional teams in a challenging and dynamic environment.

• Design, develop, and maintain ETL processes using IBM InfoSphere DataStage (versions 8.1, 8.7, and 11.3).

• Build and optimize parallel jobs to clean, transform, and load data into target databases.

• Implement robust solutions for data extraction and transformation from various sources including flat files and RDBMS.

• Configure and manage job scheduling and automation using tools like Control-M and Autosys.

• Develop shell scripts and use Unix commands to enhance ETL performance and streamline data processing.

• Ensure efficient job execution, error tracking, and troubleshoot performance issues.

• Use Moody’s tools (RCO, RAY, RFO) to support liquidity, risk management, and financial reporting projects.

• Troubleshoot and resolve issues related to GL recon breaks, ALM/LIQ stress processes, and LCR processes.

• Support Big Data solutions by working with core Spark (batch processing) and Spark SQL using Scala.

• Use Hadoop technologies like HDFS, Hive, and Sqoop for large-scale data migration and analysis.

• Design, develop, and maintain scalable ETL/ELT workflows using Spark, SQL, and Python on the Azure Databricks platform.
• Build and optimize data pipelines on the ADA platform to support advanced analytics and business intelligence.
• Import and process metadata and data from multiple sources (e.g., S3 buckets) to support reporting and analytics.
• Implement data quality checks, data validation, and ensure accuracy in processed data.
• Hands-on experience in cloud services (Microsoft Azure) and data warehousing.
• Proven experience in predictive modelling, analytics, and creating dashboards for KPI tracking.
• Programming Languages: Python, Scala
• ETL Tools: Informatica, SAS
• Database Management: Oracle, MySQL, MS SQL Server, MongoDB
• Scripting: SQL, PL/SQL
• Development Tools: Eclipse, IntelliJ, Jupyter Notebook, Notebook
• Version Control and Build Tools: Maven, SBT, Git
• Methodologies: Agile, Scrum
• Operating Systems: Windows, Unix, Linux
• Microsoft Cloud Services: Azure Databricks, Azure Data Factory, Azure SQL DataWarehouse, Azure Data Lake Storage, BLOB Storage

Roles & Responsibilities:

• 7 years of experience in financial services, with a focus on Murex risk management.
• Proven experience in configuring and maintaining the Murex risk engine.
• Strong understanding of market risk management principles, including VaR and stress testing.
• Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Familiarity with Market Risk Aggregation (MRA) and Market Risk Engine (MRE) configurations.
• Knowledge of regulatory frameworks, particularly FRTB.
• Excellent communication and stakeholder management skills.

We are seeking Moody’s Credit and Liquidity Risk Techno-Functional SOLUTIONS ARCHITECT with expertise in both in-depth knowledge of financial risk modeling and optimization in Informatica and Moody's RAY, RCO products to provide expert technical guidance and support to clients for implementation of Moody's Knowledge software.

Job Description

This roles primarily needs;

Collaborate with clients and internal teams to design and architect end-to-end technical solutions using Informatica and Moody's Knowledge, considering data integration, data quality, and data governance aspects.

Execute database/ETL operations of multiple critical ratings applications. Design and Develop data integration workflows and mappings using Informatica PowerCenter or other relevant tools to extract, transform, and load (ETL) data from various sources into target systems.

Implement data quality rules and controls using Informatica Data Quality (IDQ) or similar tools to ensure data accuracy, consistency, and compliance with regulatory requirements

Prepare technical documentation, including solution architecture, design specifications, and user guides. Conduct training sessions or workshops for clients and end-users to educate them on the implemented solutions

Requirements :

• Bachelor's degree in Computer Science, Engineering, with 10+ years of experience performing software design and development with extensive experience in end-to-end setup of Moody’s RAY, RCO products and Implementation of Liquidity Risk metrics and Credit Risk metrics
• Must have Hands-on experience with the installation and upgrade of Moody’s applications (versions V7 and V5), including database setup, Task Server, Web Server, and Spark Server configurations.
• Must be able to set up both technical and functional Moody’s product configurations independently troubleshooting and resolve runtime issues.
• Must Have database skills including SQL, Stored Procedures, PL/SQL scripting, Hive, Teradata, Oracle, UNIX, Autosys, and Big Data technologies such as Apache Spark, MongoDB, Hadoop, Apache Kafka, Rest/SOAP to conduct comprehensive testing of Informatica and Moody's Knowledge solutions to ensure their functionality, reliability, and adherence to client requirements.
• Experience in designing and developing data pipelines using ETL Tools including Informatica PowerCenter and Talend Data Integration.
• Proven Experience working with cloud technologies such as AWS and Snowflake and in core database development using native tools/methods.
• Experience with scheduling tools like Autosys Scheduler, Control-M, Zena and scripting languages such as shell and Scala.
• Experience working on operating systems, including Windows and Unix.
• Familiarity with SDLC processes, including Agile and Waterfall.

• 10 years of experience in end-to-end delivery and payments systems.
• Expertise in cash management systems.
• Strong experience with ISO 20022 messaging (Pain, Pacs, Camt) and country-specific payment systems.
• Proficient in requirement gathering, impact analysis, and creating user stories and roadmaps.
• Hands-on in coordinating onshore and offshore teams to align delivery with release plans.
• Skilled in managing stakeholders, coordinating with cross-functional teams, and driving project closure.
• Certified Scrum Master and Lean Six Sigma certified with exceptional communication and leadership skills.
• Familiar with various technologies like JSON, API, Solace JMS, PostgreSQL, Microservices, and more.

Description

• Develop and maintain responsive user interfaces using ReactJS.
• Collaborate with cross-functional teams in an Agile environment to define, design, and ship new features.
• Integrate with backend services and APIs to create seamless user experiences.
• Utilize Java for server-side logic and integration where necessary.
• Manage project tasks and documentation using JIRA to ensure transparency and efficiency.
• Implement CI/CD pipelines using Jenkins and deploy applications on OpenShift or Docker.
• Conduct code reviews, provide constructive feedback, and uphold coding standards.
• Troubleshoot and optimize application performance for improved user experience.
• Stay up-to-date with emerging trends in frontend technologies and best practices.

Requirements

• Proven experience as a Frontend Developer with a strong portfolio of web applications.
• Proficiency in Java and experience with ReactJS for frontend development.
• Familiarity with Agile methodologies and experience working in Agile teams.
• Experience using JIRA for project management and issue tracking.
• Knowledge of Jenkins, OpenShift, or Docker for CI/CD and application deployment.
• Strong understanding of HTML, CSS, JavaScript, and responsive design principles.