Data Scientist

The Junior Data Scientist is responsible for problem-solving across multiple domains; Fraud, Financial Crime & Compliance Risk business of Eastnets. This is an all-encompassing role that will involve: business requirements gathering and understanding, ideas generation, data engineering, model development and visualization, model deployment/dev ops, model management, stakeholder management, and model interpretation to relevant business owners. He/ She will use technology and framework for development, using Python, and have a chance to shape solutions within a continuously evolving industry. The candidate will contribute to customer demos, and requests for proposals and interact with Product Owners and Sales support., * Use of machine learning, modeling, analytics and statistical and mathematical techniques to solve problems.

• Extract data from multiple sources, exploratory data analysis, plots/charts, etc.
• Propose solutions and strategies to business challenges.
• Represent Eastnets at external events such as webinars, conferences etc.
• Build strategic relationships with Product Owners, Sales and Customers.
• Research new and emerging technologies, tools and techniques.
• Curiosity in solving problems using a novel machine learning approach.
• Educate other team members, Product Managers, Developers, and QA on data science techniques used to solve the problem at hand.
• Responsible for managing multiple data science projects simultaneously.
• Gather requirements from relevant stakeholders and manage expectations.
• Coordinate with developers and QA on deploying developed models.
• Propose solutions and strategies to business challenges.
• Research new and emerging technologies, tools and techniques.
• Maintain the security of the information, devices and systems that Eastnets, and its personnel, customers and partners use.
• Protect Eastnets business information and any customer, supplier or partner information within its custody by safeguarding its confidentiality, integrity and availability.
• Adhere to and comply with Eastnets internal security policies, Code of Ethics, Non-Disclosure Policy, Non-Compete Policy, Email Policy, Proprietary Rights Acknowledgement, Background Check Policy, and all other internal policies and employee handbook.
• Participate in the company's wide initiatives.

• Graduate preferably in a STEM subject.
• An MBA or equivalent post-graduate qualification is a plus.
• Data science certifications would be a plus.
• Strong experience in programming. (Any mainstream data science programming language).
• Familiarity with AI/ML concepts and their application in financial crime prevention is a strong plus.
• Solid knowledge in data science methodology e.g. supervised learning, clustering, forecasting and time series analysis, text analytics and natural language processing, etc. Solid knowledge in machine learning and statistical techniques: regression, neural networks, social network analysis, support vector machine, etc.
• Proficiency in SQL. Experience in delivering product solutions in Fraud, Financial Crime and Compliance is a plus.
• Experience in Natural Language Processing, the financial sector, financial service providers, and the banking sector is a plus.
• Experience in developing solutions using advanced technologies such as Artificial Intelligence in financial services and products.
• Excellent analytical skills with the ability to integrate diverse and complex data problems.
• Flexible attitude with proven experience of working in a small and agile team.
• Must be a team player.
• Strong relationship management skills with a proven ability to work across the business.
• Excellent communication skills for different internal and external communication needs.
• Knowledge in AI technologies and their application.

Eastnets is a leading player in the B2B fintech industry. We are a global provider of compliance and payments solutions for the financial services sector. Our experience and expertise help ensure trust at over 800 financial institutions across the world, including 11 of the top global banks. We secure institutions from financial crime by helping our partners manage risk through sanction screening, transaction monitoring, analytics, and reporting, along with market-leading consultancy and customer support.