accountant

• Initiating professional engagement through chat and phone calls  with target and existing customers
• Provide excellent service to customers and address their inquiries or issues promptly.
• Process secure and efficient transactions such as bank verifications, entertainment portals, credit top-up in compliance with the SOPs. 
• Reach out customers to inform them about the latest promotions they can avail of.
• Engage with customers and update them about the latest promotions.

Work Experience

• Experience in taking inbound and outbound calls
• Good technical skills—able to comfortably navigate through smartphone and desktop applications
• Excellent written and spoken English communication skills
• A critical thinker with good analytical skills and attention to detail
• Process secure and efficient transactions such as bank verifications, entertainment portals, credit top-up in compliance with the SOPs. 
• Reach out customers to inform them about the latest promotions they can avail of.
• Flexible and able to work in a fast-paced, team-oriented environment
• Willing to work on-site overseas

Knowledge & Experience required:

·        Bachelor's degree in Computer Science Engineering or equivalent degree.

·        7 years of development experience as a seasoned Java developer

·        7 years of experience in developing enterprise applications using enterprise Java 8 and has worked both on Web and Server side technologies.

·        A strong Java Backend Developer with Core Java 8, Spring, Spring Boot, Hibernate, REST Web-services.

·        Expertise in Java Unit Testing Frameworks and tools such as JUnit, TestNG, Mockito etc.

·        As a Senior developer, must be comfortable switching tasks between Web Services, APIs, Batch Job engine or Web Development.

·        Passionate Java developer who is also a problem solver and has a very good understanding of core and advanced Java concepts.

·        Good understanding of database and data fundamentals in SQL Server 2017, Oracle and NoSql databases.

·        Good understanding of Web Service concepts and experience building RESTful services is required.

• Designing and developing new web applications.
• Maintaining and troubleshooting existing web applications.
• Writing and maintaining reliable Ruby code.
• Integrating data storage solutions.
• Creating back-end components.
• Identifying and fixing bottlenecks and bugs.
• Integrating user-facing elements designed by the front-end team.
• Connecting applications with additional web servers.
• Maintaining APIs.

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 2+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
• strong quantitative and programming skills with a product-driven sensibility