Tech- Data Scientist & Client Integration Associate

Singapore /
Exiger Tech /
Location: Singapore, Singapore

Exiger Tech is an experienced team of software professionals with a wide range of specialties and interests. We make use of big data and natural language processing technologies as well as dealing with day-to-day application development and scaling issues. We utilize agile methodologies, iterate quickly to find solutions, and work together to ensure that the system evolves in a maintainable and performant fashion.
This is a full-time opportunity located in Singapore.

We are looking for an independent and client-oriented individual with a keen eye for detail to join our new Data Services function, Data Science & Client Integration team within Exiger Tech. The individual will be assisting with building system integration between client systems and our products, as well as providing data insights for internal product improvements and fine tuning for client implementations. A big part of this role involves working with external clients and internal teams to understand the incoming request and writing the necessary reusable, testable, and efficient code to satisfy requirements. Since this is client facing role, it is very important to have the ability to adapt to fluctuating requirements and priorities across a globally distributed client base.

Key Responsibilities

    • Understand the use cases and the requirements from clients and/or client services and provide technical solutions.
    • Write effective, scalable python code with proper error handling and logging.
    • Test and debug programs, and improve functionality of existing systems.
    • Provide estimates and communicate project plan to stakeholders.
    • Continually look for process improvements and more efficient use of technology.
    • Apply data privacy oversight throughout the project life cycle.
    • Continually look for process improvements and more efficient use of technology.

Knowledge & Skills

    • Strong practical knowledge of Python coding skills and its data-science related libraries.
    • Knowledge of application, data, and infrastructure architecture disciplines.
    • Hands-on database experience, specifically experience querying, designing, and maintaining SQL.
    • Experience working with RESTful API’s using JSON.
    • Experience with Git as well as bash scripting.
    • Familiarity with Docker and Kubernetes.
    • Strong data analysis skills & experience with data wrangling with Python.
    • Demonstrated experience operating in both Linux and windows environments.
    • Exposure to (or desire to learn) Java.
    • Client Consultancy and Delivery.

Professional Skills Required

    • Bachelors in Computer Science or Management Information Systems, or equivalent professional experience.
    • 4 years of professional experience in Python scripting languages.
    • At least 3 years of professional experience with SQL-based databases.
    • 3+ years of experience with ELT/ ETL tools such as Talend, Informatica, Excel, etc.
    • Proven project management skills.
    • Superior communication skills.
    • Proven ability to quickly learn and adapt to a dynamic environment.
    • Previous experience within the financial services sector is beneficial.
    • Must be authorized to work in Singapore without sponsorship
About Exiger
At Exiger we work everyday to make the world a safer place to do business in. Our experts and technology help clients prevent breaches, respond to risk, remediate issues and monitor activities. We are searching for people who think creatively to solve complex problems related to governance, risk and compliance thus delivering first class solutions for our corporate and government partners.
Exiger’s core values are courage, excellence, expertise, innovation, integrity, teamwork and trust.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.