Senior Data Scientist (Lending)

Maya; Metro Manila; On-site; PHP 1,500,000 - 3,200,000; Full time

Job summary

Maya is seeking a Senior Data Scientist to drive data-driven decision making across finance and lending operations. You will lead data science projects, develop advanced analytical models, and translate insights into business actions.

You will collaborate with business, risk, product, tech, and finance teams to identify data needs and deliver solutions that improve risk assessment and portfolio performance. The role requires strong programming and communication skills.

Qualifications

• Bachelor's degree in a quantitative field (data science, statistics, CS, or related).
• 3+ years of data science and analytics experience, preferably in financial services or related industry.
• Strong programming with Python, R, or equivalent.
• Ability to translate complex data into actionable insights.
• Excellent communication and interpersonal skills to convey concepts to non-technical stakeholders.

Responsibilities

• Collaborate with stakeholders across portfolio management, risk, product, tech, and finance to define data needs and deliver data solutions.
• Work with other data scientists and MLOps engineers to implement solutions and improve processes.
• Develop advanced ML models and data solutions to enhance risk assessment and lending operations.
• Stay current with data science advancements and apply to improve analytics capabilities.

Skills

Python

R

Data analysis

Modeling

Communication

Education

Bachelor's degree

Master's degree

PhD

Job description

As a Senior Data Scientist, you will be crucial to our organization's data-driven decision-making processes. You will be responsible for leveraging your extensive data science expertise to provide valuable insights, develop advanced analytical models, and guide data-driven strategies. You will be responsible for leading and executing data science projects that directly impact on our financial services operations.

What you will do:

• Closely collaborate with business stakeholders including portfolio management, risk management, product development, tech and finance to understand their data needs and provide data solutions and help identify opportunities for improvement to help achieve business objectives.
• Collaborate with other Data Scientists and MLOps Engineers to implement solutions, identify areas for improvement, and achieve maturity in our internal processes.
• Address complex business challenges by developing advanced machine learning models and other data solutions to enhance risk assessment, and other key areas of our lending business.
• Stay updated with the latest data science advancements and apply them to improve our analytics capabilities

What we are looking for:

• Bachelor's degree (Masters or PhD is a plus) in a quantitative field such as data science, statistics, computer science, or a related discipline.
• Proven experience (3+ years) in data science and analytics, preferably with a focus on financial services or a related industry.
• Strong technical skills in data analysis, modeling, and programming, with proficiency in Python, R, or equivalent.
• Preferably with an understanding of financial services operations, regulations, and industry-specific challenges.
• Excellent problem-solving skills and the ability to translate complex data into actionable insights.
• Strong communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders effectively.