职位：Independent Risk Management Development Program Analyst/Associate
Preferred business relevant majors (e.g., Finance, Accounting, IT, Economics, Marketing, Mathematics, Statistics, HR, Management, Communications, Business Law, Psychology, Logistics, Engineering, Computer Science, Actuarial Sciences), Minimum GPA 3.0.
Roles at this level are filled by recent university / college graduates with little or no professional experience, but possessing relevant skills. Includes individuals joining the organization through a corporate development/training program.
Accuracy and Attention to Detail – Understanding of the necessity and value of accuracy and attention to detail; ability to process information with high levels of accuracy.
Analytical Thinking – Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business.
Business Acumen – Knowledge, insight, and understanding of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to diverse situations.
Effective Communications – Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
Flexibility and Adaptability – Knowledge of successful approaches, tools, and techniques for dealing with changes and adapting to a changing environment; ability to adapt as needed.
Information Capture – Knowledge of the processes and the ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.
Products and Services – Knowledge of major products and services and product and service groups; ability to apply this knowledge appropriately to diverse situations.
Project Management – Ability to plan, organize, monitor, and control projects, ensuring efficient utilization of technical and administrative resources, to achieve project objectives.
Self-Directed Growth and Development – Understanding of the necessity of continuous personal growth; ability to gauge one's strengths, limitations and interests, and use of this knowledge for purposes of performance effectiveness and self-development.
Experience with data visualization using Tableau, Quicksight, or similar tools
2+ years of experience analyzing and interpreting data and experience with Redshift, Oracle, NoSQL etc
1+ years analyzing and interpreting data and experience with Redshift, Oracle, NoSQL etc
Currently enrolled in a Master’s in an analytically rigorous field (Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics) or other equivalent discipline
Must graduate after December 2023
Must be eligible and available for a full-time (40h / week) 6-month internship
Experience building dashboards in Tableau or other relevant data visualization tool (Looker, PowerBI, Grafana, etc.)
Write high-quality SQL queries to retrieve and analyze complex datasets
Basic understanding of Python, R or other relevant scripting language
Experience using quantitative methods to evaluate product/system/service performance
Demonstrated ability to communicate effectively across stakeholder groups
Pursuing a Master in Computer Science, Computer Engineering, CIS/MIS, Data Science,Cryptography, Cybersecurity, Business or a related field, graduating December 2023 or later
Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications, and communications that demonstrate professional judgment.
Work experience and/or academic background in one of these areas : AI/machine learning, Secure multi-party computing (MPC), Blockchain, Identity, Authentication, Advance cryptography
Experience programming in at least one or more in Java, Python, Scala and Go
Strong understanding of algorithms and data structures
Hands-on experience and/or academic background partnering with research scientists and can speak knowledgeably about the design choices, algorithms, and software tools
Hands-on experience and/or academic background translating problem statements into corresponding solution design, infrastructure, or workflow needs
Very strong interpersonal, facilitation, and leadership skills along with effective communication (both written and verbal) skills and the ability to present complex ideas ina clear, concise way
Fast learner in new technologies
Experience and/or academic background in working of large scale of distributed and hybrid system,and/or large datasets is a plus
Knowledge and experience working on Single Page Applications development, RESTful services,SQL and NoSQL databases in agile environment is a plus
Publications or presentation in recognized computing journals/conferences is a plus
Payments industry experience/understanding is a plus
Applicable for AI/machine learning area
Applicable for Non - AI/machine learning areas