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Job Description

1. Conducting Requirements and Analysis of the Client's Project.
2. Creating User Requirements Document and Design based on the requirements carried out
3. Create bulk items (development list) for developers to work on
4. Test the development results
5. Ensure that the results of the code review and Junit testing are in accordance with the code review checklist
6. Review the deployment document against the deploy project
7. Coordination of UAT process and Project implementation to keep it on schedule
8. Ensure usage man-days are in accordance with their respective phases
9. Ensure project documentation is in accordance with CMMI principles

Requirements

• Candidate must possess at least a Bachelor Degree, Computer Science/Information Technology or equivalent;
• At least 2-3 year(s) of working experience in the related field is required for this position;
• Familiar with Object Oriented Programming (OOP), experiences with some object-oriented languages (such as Java) are advantageous;
• Familiar with Unified Modeling Language (UML);
• Knowledge of state-of-the-art software develop technology;
• Knowledge of Mobile and Web based application and Database/Data Schema design;
• Familiar with SDLC (Waterfall or Scrum)
• Familiar with following business process: Multi Finance industry is advantageous
• Ability to work under pressure and achieve target in timely manner
• Strong analytical and planning skills;
• Good communication and presentation skills;
• Excellent problem-solving skills;

Job Description

1. Melakukan pengolahan data serta memberikan insight terkait data

Requirements

• Memahami statistik fundamental, basic regresi / decision tree based algorithm ;
• Menguasai SQL scripting & random forest / XGBoost ;
• Jurusan:
  • Statistics & Computer Science
  • Computer Science
  • Information Systems

Job Description

1. Filing and archiving document neatly
2. Scanning physical document
3. Ensuring every document is readable

Requirements

• At least SMK/D3

Job Description

Requirements

• 2 years of experience
• Strong organizational and project management skills
• Proficiency with fundamental front end languages such as HTML, CSS, Javascript
• Familiarity with Javascript frameworks such as Angular JS, Reach, Amber
• Proficiency with server side languages such as Python, Ruby, Java, PHP, .Net
• Familiarity with database technology such as MySQL, PostgreSQL, SQL Server, MongoDB
• Excellent verbal communication skills
• Good problem solving skills
• Attention to detail

Job Description

1. Build, deploy and manage Data Warehouse solutions that can adequately handle the needs of a rapidly growing data driven company
2. Lead the development of systems, architectures, and platforms that can scale to the 3 Vs of Big data (Volume, Velocity, Variety)
3. Streamline data access and security to enable data scientists and analysts to easily access to data whenever they need to
4. Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources
5. Maintain and optimize the performance of our data analytics infrastructure to ensure accurate, reliable, and timely delivery of key insights for decision making
6. Lead the movement, cleaning, and normalizing subsets of data of interest as preparatory step before deeper analysis by the data scientists

Requirements

• At least 5 years of experience in designing, building, and maintaining accurate, reliable and efficient Data Warehouse Environment
• At least a Bachelor's degree in Computer Science, Software Engineering, Information Technology, Electrical Engineering, or other quantitative fields.
• Experience in handling large data sets (hundreds of TBs) and working with structured datasets
• Designed high performance scalable infrastructure stacks for Big Data Analytics
• Deep understanding of databases and engineering practices – include building deterministic pipelines, human-fault-tolerant pipelines, understanding how to scale up, handling and logging errors and data cleansing.
• Expert in SQL and Python
• Excellent communication skills to coordinate development of data pipelines, and or any new products features that can be built on top of the results of data analysis

Job Description

1. Build, deploy and manage Data Warehouse solutions that can adequately handle the needs of a rapidly growing data driven company
2. Lead the development of systems, architectures, and platforms that can scale to the 3 Vs of Big data (Volume, Velocity, Variety)
3. Streamline data access and security to enable data scientists and analysts to easily access to data whenever they need to
4. Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources
5. Maintain and optimize the performance of our data analytics infrastructure to ensure accurate, reliable, and timely delivery of key insights for decision making
6. Lead the movement, cleaning, and normalizing subsets of data of interest as preparatory step before deeper analysis by the data scientists

Requirements

• At least 5 years of experience in designing, building, and maintaining accurate, reliable and efficient Data Warehouse Environment
• At least a Bachelor's degree in Computer Science, Software Engineering, Information Technology, Electrical Engineering, or other quantitative fields.
• Experience in handling large data sets (hundreds of TBs) and working with structured datasets
• Designed high performance scalable infrastructure stacks for Big Data Analytics
• Deep understanding of databases and engineering practices – include building deterministic pipelines, human-fault-tolerant pipelines, understanding how to scale up, handling and logging errors and data cleansing.
• Expert in SQL and Python
• Excellent communication skills to coordinate development of data pipelines, and or any new products features that can be built on top of the results of data analysis

Job Description

1. Build, deploy and manage Data Warehouse solutions that can adequately handle the needs of a rapidly growing data driven company 
2. Lead the development of systems, architectures, and platforms that can scale to the 3 Vs of Big data (Volume, Velocity, Variety)  
3. Streamline data access and security to enable data scientists and analysts to easily access to data whenever they need to  
4. Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources  
5. Maintain and optimize the performance of our data analytics infrastructure to ensure accurate, reliable, and timely delivery of key insights for decision making  
6. Lead the movement, cleaning, and normalizing subsets of data of interest as preparatory step before deeper analysis by the data scientists  

Requirements

• At least 3 years of experience in designing, building, and maintaining accurate, reliable and efficient Data Warehouse Environment  

• At least 1 years of leadership experience  

• At least a Bachelor's degree in Computer Science, Software Engineering, Information Technology, Electrical Engineering, or other quantitative fields.  

• Experience in handling large data sets (hundreds of TBs) and working with structured datasets  

• Designed high performance scalable infrastructure stacks for Big Data Analytics  

• Deep understanding of databases and engineering practices – include building deterministic pipelines, human-fault-tolerant pipelines, understanding how to scale up, handling and logging errors and data cleansing.  

• Expert in SQL and Python  

• Excellent communication skills to coordinate development of data pipelines, and or any new products features that can be built on top of the results of data analysis

Job Description

1. Build predictive model for credit risk, collections, fraud, and other necessities for financial industry
2. Manage and own the entire end-to-end lifecycle of building and validating predictive models along with their deployment and maintenance
3. Engineering predictive features from existing data to build refined customer profiles. Identify external data assets to bring into model mix
4. Work backwards to conceptualise and design analytic model frameworks to solve business problems
5. Strong communication skills to share your knowledge, lead with a given strategy, get multiple stakeholders to buy into the vision and execution of the analytic roadmaps.

Requirements

• At least 3 years of hands-on experience in building, evaluating, and monitoring ML collection risk or consumer credit scoring models for financial products
• At least a bachelor degree in a quantitative fields (Mathematics, Statistics, Computer Science, Machine Learning, etc)
• Solid understanding of mathematics and statistics
• Sound knowledge of machine learning concept such as bagging, boosting, recommendation engines, etc.
• Expert in feature creation on various data types
• Professional experience in building machine learning analytics model development
• Understanding of trade-offs between model performance and business needs
• Proven experience to formulate data science solution to business problems
• Proven ability to communicate with businesses and business needs.
• Work experience and knowledge of one or more domain is a plus - Risk Analytics, Marketing Analytics, Fraud Analytics, etc.

Job Description

Requirements

• Bachelor in Computer Science (Information Technology / Information System / Computerized Accounting).
• Minimum 1 year experience in coding .Net / Java.
• Minimum 1 year experience in Katalon Automatic Testing and test tools such as Postman, JMeter, K6.
• Familiar with SQL Statement in Ms. SQL Server, API testing and Flowchart / System Design.
• Minimum 1 year experience in designing comprehensive Test Plan, Test Scenario/Cases & Test Scripts and perform manual software testing.
• Experience in Agile/Scrum is a plus.
• Knowledge in Multifinance, Accounting/Journal are a plus.
• Proactive, excellent communication skill (written & verbal), highly motivated and able to work under pressure independently or in team.
• High attention to detail, precise, good business logic, and solid analytical skill.
• Open mind and willing to share & learn new technologies.
• Able to shifting WF and WFO

Job Description

1. Mempin & membimbing team untuk memberikan support atas aplikasi yang digunakan customer.
2. Melakukan koordinasi dengan client melalui pertemuan secara periodic atau khusus.
3. Melakukan pengecekan atas perbaikan program yang sudah dikerjakan oleh yeam dan memastikan solusi sudah tepat.

Requirements

• Pengalaman minimal 3 tahun.
• Pendidikan S1 jurusan sistem informasi, Teknik Informatika, atau komputerisasi akuntansi.
• Memiliki pemahaman yang baik mengenai Microsoft .Net (C#, ASP, .Net, WFC, Entity, Workflow Foundation, Message Queing, dan Ms. SQL Server)
• Mampu bekerja secara team dan individu.

Job Description

1. Conduct a challenging tech-engineering duties for all teams
2. Design, implement, and test a complex multi-tier distributed software application frameworks collaboratively with peers and other technical leaders
3. Create designs to improve the efficiency, scalability, availability, flexibility, functionality, and usability of our systems and other components.
4. Establish benchmarks, standards, techniques, and other mechanism to define, measure, and optimising non-functional requirements within the team.
5. Act as a subject matter expert in one or more technical environments and technologies.
6. Creating exemplars, frameworks, standards, guidebooks, or other tool that enhance every member of a team, organisation, or domain to work consistently
7. Select, design, and/or remediate technological platform to be resilient towards business rules, utilisation loads, and environment, while maintaining a short term focus and delivering concrete business results.
8. Architectural design and executing migration strategies from existing platform to a new network infrastructure.
9. Project planning and effort estimation for different phases
10. Ability to find and help fixing performance, scalability, and any other issue in a time critical environment

Requirements

• Bachelor or Master degree in computer science and other relevant technical field with a strong fundamental understanding on algorithms, data structures, data modelling, and OOP.
• 4+ years of experienced planning, architecting, designing, developing, and delivering software.
• Familiarity with GIT, Continuous integration system & issue tracking tools
• Familiarity with virtualisation and containerisation technologies
• Familiarity with agile/scrum methodology for software development
• Possess excellent communication, sharp analytical abilities with proven design skills, able to think critically of the current system in terms of growth and stability
• Extensive experience in marketplace related technology

Job Description

1. Develop comprehensive documentation that meets organisational standards
2. Obtain a deep understanding of products and services to translate complex product information into simple, polished, and engaging content
3. Write user-friendly content that meet the needs of the targeted audience, turning insights language that set our users up for success
4. Develop and maintain detailed data base of appropriate reference material, including research, usability test, and design specification
5. Evaluate current content and develop innovative approaches for improvements

Requirements

• Bachelor degree in relevant technical field
• 2 -4 years of experience as an effective technical writer
• Ability to learn and understand complex topics quickly
• Previous experience on writing a documentation and procedural material for multiple audiences
• Superior written and verbal communication skill with a keen eye for details
• Experience working with engineering to improve user experience: design, UI, and help refine content and create visuals or diagram for technical support content