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The primary duty of Software Engineer, Fraud Research is to research frauds in communication and identity fields and build automated procedures, reports, and solutions for anti-fraud purposes.
Key Responsibilities
- Programming automated tests and creating test plans and test cases within Billing system.
- Developing and maintaining robust test automation frameworks.
- Participating in deployment duties on behalf of Billing team - running and validating test jobs and performing ticket validation.
- Investigating and troubleshooting potential environment and/or test issues.
- Working closely with Operation and Release teams on planning, deploying, and testing new software releases.
- Cooperate with other engineers to produce high quality and resilient products.
Essential Requirements
- 1-3 years of hands-on software development experience.
- Work with minimal supervision on well-defined, specific tasks.
- Understand development best practices and standards (design patterns, coding standards, etc.).
- Collaborate with team members or other groups in writing functional, design, and interface documents and prototypes.
- Solid experience in Git and branching.
- Self-learner with strong problem solving and analytical skills.
- Excellent interpersonal, communications and organizational skills.
- University degree in Computer Science or equivalent.
- Strong understanding of AGILE and SCRUM methodologies.
- Experienced in building and running SQL queries against large databases.
- Data analyst experience.
- Ability to make decisions based on both quantitative and ambiguous qualitative input.
- Excellent analytical, troubleshooting and problem-solving skills.
- Curious, fast learner and motivated to learn.
- Strong orientation to details.
- Innovative and proactive approach.
- Strong organizational and time management skills.
Preferred Qualifications
- Experience with REST API development.
- Experience with high volume web services. Caching, distributed processing, replication, and performance profiling.
- Experience in Python programming.
- Knowledge of basic Linux system administration tasks.
- Good SQL and database design skills, Microsoft SQL Server preferred.
- Experience in report development using Tableau or similar reporting tools.
- Prior experience in risk management, anti-fraud or anti-spam analyst positions.
- Telco or SMS industry experience.
- Experience in data mining, machine learning, expert systems and automated systems.
We are offering
- Good compensation - Competitive € salary plus benefits package.
- Development opportunities.
- Challenging but also a friendly working environment.
- And much, much more...
About TeleSign
Telesign connects and protects online experiences with sophisticated customer identity and engagement solutions. Through APIs that deliver user verification, data insights, and communications we solve today’s unique customer challenges by bridging businesses to the complex world of global telecommunications.
Telesign is proud to be an equal opportunity employer. We believe our differences help us create a better workplace, a better product, and a better community. We do not discriminate on the basis of race, color, ancestry, religion, national origin, marital status, pregnancy, sex, sexual orientation, gender, gender identity or expression, age, genetic information, disability, military or veteran status, or any other basis protected by federal, state or local law, ordinance or regulation.
Telesign is an Affirmative Action Employer and as part of the commitment to AAP, it will seek to ensure affirmative action to provide equality of opportunity in all aspects of employment, and that all personnel activities, such as the recruitment selection, training, compensation, benefits, discipline, promotion, transfer, layoff and termination processes remain free of illegal discrimination and harassment based on protected characteristics.
Join our team, send your application in English language electronically.
Only short listed candidates will be contacted.
All applications will be handled with absolute confidentiality.
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