Machine Learning Researcher

4 semanas atrás

Braga, Portugal Gcash Tempo inteiro

Do you want to take the first step in making Filipinos' lives better every day? Here in GCash, we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation G ka ba? Join the G Nation today
Job Title: Machine Learning Researcher
Location: BGC, Taguig
Department: Data Office - Transformation Office
Reporting to: Senior Machine Learning Researcher
Level: Lead/Senior Manager
Employment Type: Full-Time
Role Overview:
As a Machine Learning Researcher in the Data Science and AI team, you will play a vital role in developing innovative machine learning models and algorithms to address some of the most critical challenges in the FinTech sector. Your work will focus on high-impact areas, including credit scoring, personalization, and fraud detection, as well as developing entity resolution systems to ensure accurate identity verification. Working collaboratively with data strategists, machine learning engineers, and business stakeholders, you'll deliver end-to-end AI-driven solutions that support millions of users, fostering Mynt's mission to drive financial inclusivity in the Philippines.
Key Responsibilities:
Machine Learning Model Development: Conduct research and develop machine learning models to address specific business problems, such as:
Credit Scoring: Enhancing Mynt's proprietary trust score, GScore, which supports billions of pesos in loans and serves as a credit backbone for millions of users.
Personalization: Building recommender systems to create personalized customer experiences on the GCash platform, increasing engagement and customer satisfaction.
Fraud Detection and Entity Resolution: Developing models that detect anomalies and identify fraudulent behavior, protecting users and enhancing platform security.
Explore and experiment with new algorithms, tools, and techniques to improve existing models and build new capabilities that address evolving business needs.

Collaboration and Solution Delivery: Work closely with data strategists and machine learning engineers to design and implement end-to-end machine learning solutions.
Engage with business managers to ensure that developed models are aligned with business objectives, effectively integrating technical solutions into broader strategic goals.
Publish and share research findings internally within the Advanced Analytics team and across business units, contributing to knowledge sharing and cross-functional alignment.

Innovation and Research: Continuously research and evaluate emerging machine learning frameworks and AI methodologies, implementing applicable ones to solve complex business problems.
Regularly assess model performance and apply advanced techniques to enhance accuracy, efficiency, and scalability of solutions.
Emphasize model explainability, ensuring stakeholders understand the model's decision-making process and that it meets compliance and interpretability standards.

Insights and Visualization: Simplify complex data analyses and model results into clear, visual representations for both technical and non-technical stakeholders.
Distill technical findings into actionable insights, highlighting how these models can drive business value, optimize operations, and improve customer experiences.

Qualifications:
Education and Experience: Minimum of 2+ years of experience in machine learning or a similar role, preferably within data-intensive industries such as finance, telecommunications, or technology.
A bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physical Sciences); a master's degree or higher in a related discipline is preferred.

Technical Skills: Proficient in SQL and either Python or R for advanced data analysis, with a strong portfolio showcasing practical ML implementations.
Demonstrated expertise in machine learning with big data, with a focus on at least one of the following areas:
Recommender Systems
Forecasting Models
Natural Language Processing (NLP)
Network Science
Reinforcement Learning
Familiarity with cloud-based analytical services, data management, and automation tools to support scalable model deployment.
Working knowledge of version control software, particularly Git , to manage code effectively.

Core Competencies: Strong research aptitude with a natural curiosity for exploring and testing new algorithms and frameworks.
Ability to communicate complex findings clearly and effectively, ensuring insights are accessible to various business stakeholders.
A focus on model interpretability, with a preference for explainable solutions over black-box models.
A collaborative mindset, with experience working in cross-functional teams to develop and deliver machine learning solutions.

Key Performance Indicators:
Model Performance: Demonstrated improvement in model accuracy, efficiency, and scalability for key business applications.
Research and Development: Proactively exploring new ML frameworks and contributing to knowledge sharing within the team.
Insight Sharing: Publishing and presenting research findings and model outcomes, fostering transparency and understanding among stakeholders.
Career Path and Growth Opportunities:
This role is designed for machine learning professionals aiming to expand their expertise in a dynamic FinTech environment. Successful candidates will have opportunities for growth within Mynt, potentially advancing to roles such as Senior ML Researcher as they develop their skills and contribute to more complex and impactful projects.
Why Join Us?
At Mynt's Data Science and AI team, you'll join a vibrant community of AI researchers and engineers dedicated to pushing the boundaries of machine learning and AI. This role offers the opportunity to impact millions of users, shape the future of financial services in the Philippines, and continuously advance your technical expertise within a leading FinTech company.
What We Offer:
Opportunity for career growth and development in the #1 FinTech company in the country. Working with a dynamic and highly collaborative team who want to change the game. A company that values their people with a highly competitive and flexible compensation and benefits package.

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