• Assist the Special Investigation Head and Lead in conducting investigations into the assign suspected cases of fraud, corruption, embezzlement, or other financial misconduct. • Assist to collect and analyze data, conduct interviews, and prepare reports on findings and recommendations. • Participate in the development and implementation of fraud prevention and detection strategies. • Participate in the “Whistleblower Procedure” awareness activities for the entire company. • Assist in coordinating with other departments, especially with the legal and Compliance department. • Ensure the confidentiality, integrity, and security of information related to investigations. •Stay up to date with industry trends, best practices, and emerging risks in the field of financial institutions. • Maintain the register of the Special Investigation Team such as the Fraud Risk Analysis activities in the workforce.
Work closely with team members (developers, product owners, project managers) to test and deliver high quality defect-free software products Create detailed, comprehensive, and well-structured test plans, test cases, and test scripts Identify, document, and track software defects and inconsistencies, ensuring timely resolution Document all test results and maintain clear testing records and reports Perform web and mobile application testing (functional, regression, usability, and performance testing) Conduct API testing and validate backend data integrity Design and execute automation scripts to improve efficiency and test coverage (if applicable) Review requirements, specifications, and technical design documents to provide timely and meaningful feedback Work with cross-functional teams throughout the software development life cycle (SDLC/STLC) Communicate clearly and effectively across all levels of the organization Stay up to date with new testing tools, methodologies, and quality assurance trends Support continuous improvement by identifying gaps, suggesting process enhancements, and mentoring junior QAs when needed
Develop and implement scalable web applications and deploy running environments from development to production. Collaborate with cross-functional teams to design, build, and maintain automated deployment CI/CD pipelines and infrastructure. Automate and optimize manual and repetitive tasks using scripting and infrastructure-as-code (IaC) technologies. Manage, provision, and monitor cloud-based infrastructure and services (e.g., AWS, Azure, GCP). Ensure the security, compliance, and reliability of systems and applications through robust practices. Implement and manage containerization and orchestration solutions (e.g., Docker, Kubernetes). Analyze operational, financial, and performance data using statistical techniques and provide digital solutions. Study current practices of the company and define new improvement opportunities. Translate designs and wireframes into high-quality, clean, reusable, reliable, and high-performing code. Perform regular testing, debugging, and code reviews to maintain code quality and best practices; identify and fix bottlenecks. Work with databases and data storage solutions to manage and access data efficiently. Collaborate with project/product managers, team leads, quality assurance engineers, and analysts to design user-friendly applications and deliver integrated solutions aligned with business needs. Monitor server workload, utilization, and optimize costs by stopping unused services and tools. Provide ongoing support for the management and support the team with necessary tasks as requested. Participate fully in Agile digital transformation Communicate clearly and effectively across all levels
Managing the end-to-end life cycle for the production web applications and back-end portals Produce fully functional customs application and integration with the existing platform Improvement of system performance and optimization Creating, maintaining and enhancing procedures, processes and designs of the system Build up the new features and improvement the existing features for a few hundred thousand end-users Design and architecture of mobile/web applications and API Provide the solutions of the technical issues Analyze the existing system and write the new specification of projects Write the API documentation and supporting guidelines to identify the issues Identifying and handling the code standardization and the system quality Identifying and handling the technical risks, issues and escalations Write clean and high performing code and conduct testing Build features and applications with a mobile responsive design Conducts a system architecture evaluation and collaborates with management and development team to improve the architecture Stay up-to-date with new technologies and apply into the system as needed Creates and leads the process of integrating IT systems to meet business requirements Provide leadership to the development team, monitor, facilitate the team to address the issues Support the team with any necessary tasks as requested or required Participate fully in Agile digital transformation Communicate clearly and effectively across all levels
Lead and manage a team of data scientists, analysts, ensuring alignment with organizational goals and fostering a culture of innovation and collaboration. Oversee project planning, execution, and delivery, ensuring timelines, and quality standards are met. Establish strong relationships with key stakeholders to resolve complex business problems with powerful data-driven automations which are agile and meet the rapid data needs of the company. Conduct requirement analysis, propose solutions and strategies, and develop data-driven approaches, automated data flows and data-driven automations to tackle business challenges and fulfill user needs. Research and integrate cutting-edge AI/ML tools and techniques to address complex business challenges. Design, build and deploy scalable ML/AI models to solve business problems or support decision making processes. Monitor and maintain ML/AI models in production, ensuring reliability and accuracy. Manage data processing, cleansing, verification, and organizing data into usable formats, and interpreting complex datasets to identify trends and patterns for various analytics purposes. Provide domain-specific expertise, overall leadership, and perspective to cross-organization projects, programs, and activities. Maintain good knowledge of data storage and database management best practices, assist in maintaining data systems and ensuring data accuracy. Provide guidance and mentoring to team members, promoting professional growth and skill development. Perform other related duties as assigned.
Provide proper communication through telephone calls with the customers Manage large amount of inbound and especially outbound calls in timely manner Complete daily call target Keep record of customer interactions, recording customers’ comments and complaints Update existing customer information in the system Follow up customer calls as required Produce daily call reports to submit to management Monitor calls quality and develop plan to make the improvements if necessary Maintain high customer service in timely and efficient manner
This role sits at the intersection of data analysis and data engineering, shaping how data flows across the business. You'll help transform raw data into reliable insights while building pipelines and systems that make analytics possible at scale. If you are passionate about driving impact where data, technology and business meet, we'd love to hear from you. Job Description Identify and integrate relevant data sources, utilizing data tools to extract, process and detect trends and patterns. Cleanse, manipulate and validate large and complex datasets into usable formats, transforming technical data structures as semantic layers for analytics. Build, maintain and monitor scalable data flows and pipelines to efficiently distribute insights and reports to end-users. Contribute to the design and maintenance of data systems, data warehouses, policies, and troubleshooting data-related issues. Learn business processes and digital workflows to identify areas for improvement by utilizing data products. Cooperate and coordinate with internal teams and external partners to support project endeavors. Ensure secure handling of confidential data in line with organizational guidelines. Research and apply emerging data and AI technologies to enhance analytics capabilities. Mentor and guide junior staff, fostering skill development across the team.
Responsible for developing and implementing solutions as scalable web applications and deploying running environments from development to production. Analyze the company’s operational, financial data and the other performance related data using statistical techniques and find digital solutions. Study the current practices of the company and define new improvement opportunities. Translate designs and wireframes into high quality, clean, high performing, reusable, reliable and organized code. Ensure the best possible performance, quality, automatization and responsiveness of the application. Perform regular testing, debugging, and code reviews to maintain code quality and best practices. Identify and correct bottlenecks and fix bugs. Work with databases and data storage solutions to manage and access data efficiently. Design, develop, and maintain applications using Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse). Integrate Power Platform solutions with other systems (e.g., SharePoint, Dynamics 365, third-party APIs, SQL Server, etc.). Work with departmental managers to support them with specific data needs. Work closely with project/product managers, team leads, quality assurance engineers, stakeholders, and business users to gather requirements, design user-friendly applications, and deliver solutions that align with business needs. Collaborate with developers, analysts, and project managers to ensure seamless integration between low-code and pro-code solutions, regardless of platform. Provide ongoing support for the management. Support the team with any necessary tasks as requested or required.
Design, upgrade, and deploy machine learning (ML) models to solve business problems and support decision making processes. Build and maintain scalable data pipelines for model training, inference, and evaluation – ensuring reliability and accuracy. Evaluate models accuracy and performance using validation techniques. Conduct exploratory data analysis (EDA) and feature engineering to optimize model performance. Ensure proper documentation and communicate findings and model impact effectively to technical and non-technical audiences. Perform diagnostic and prescriptive analytics to uncover insights, identify trends, and recommend data-driven strategies for business growth. Collaborate with domain experts to define key metrics, measure impact, and refine analytical approaches for better decision-making. Research new ways to make use of artificial intelligence (AI) tools and techniques and contribute to relevant projects. Provide guidance and mentoring to less experienced staff members.