Model Development and Deployment:

• Design, build, and deploy machine learning models for credit scoring, risk assessment, fraud detection, and customer segmentation.
• Calibrate model parameters and optimise existing business logic and parameters
• Ensure models are robust, interpretable, and provide actionable insights.

Data Analysis and Insights:

• Conduct thorough data analysis to identify trends, patterns, and opportunities to enhance existing scorecards and processes.
• Develop and maintain dashboards and reports to track model key performance metrics and provide actionable insights to stakeholders.

Model Infrastructure and MLOps:

• Develop and maintain model infrastructure to support the lifecycle of machine learning models from development to production.
• Automate workflows for model training, validation, deployment, testing and monitoring to ensure efficiency and reliability.

Mentorship and Leadership:

• Mentor and provide guidance to junior data scientists and analysts in the team.
• Lead data science projects from inception to completion, ensuring timely delivery and alignment with business goals.

Requirements:

• 5+ years of experience in data science, preferably within the fintech or financial services industry.
• Proven experience in developing and deploying machine learning models in a production environment.
• Strong background in statistical analysis and machine learning.
• Expert in credit modelling and risk management would be an added advantage

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice