1. D3.js proficiency: Utilize D3.js to visualize complex network data and create interactive web-based graphs.
2. JavaScript expertise: Apply strong knowledge of JavaScript for DOM manipulation and asynchronous data handling.
3. Dynamic network visualization: Develop dynamic visualizations, including force-directed graphs, hierarchical edge bundling, and radial networks using D3.js.
4. Data manipulation & integration: Process large datasets (JSON, CSV, etc.) for network visualizations and integrate with back-end services or APIs.
5. Front-end development: Collaborate with web development frameworks (React, Angular, or Vue.js) to seamlessly integrate D3.js visualizations into user interfaces.
6. UI/Ux design sensibility: Implement visual design principles and layout optimization to create intuitive, user-friendly data visualization interfaces.
7. Data science fundamentals: Apply basic graph theory and network metrics in the context of D3.js visualizations.
8. Graph theory & network algorithms: Leverage expertise in graph theory concepts (e.g., shortest path, centrality, clustering) for network data analysis; experience with Neo4J is a plus.
9. Programming skills: Utilize coding skills in Python, R, or Scala to develop network analytics pipelines, including real-time data processing.
2. Candidate must be available to work from 8:30 am - 5:00 pm Indian Standard Time (as the company is based outside of India & their local work timings are 11:00 am - 7:30 pm Singapore Time)
Other requirements
1. PhD or master's in computer science is mandatory.
2. Experience in financial crime, fraud, banking, and supply chain experience
3. Experience in building large networks using databases such as neo4j, tiger graph
4. Some past research work/paper in this space.
5. Mindset to work like an entrepreneur rather than just an employee.
We help businesses unify their data, get contextual insights, and make accurate decisions. Our platform analyses all of the people, places, organizations, policies, and rules within your internal and multiple external datasets to make contextual decisions and recommendations across multiple vertical apps such as supply chain, ESG, customer insights, financial crime, and fraud serving financial services, healthcare, manufacturing firms, and governments.
We use cutting-edge AI to provide vertical app solutions.
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