Model Development and Analysis:

• Dive into real-world data to design and develop machine learning models for credit scoring, risk assessment, fraud detection, and more
• Support the calibration of model parameters and the optimisation of business logic
• Ensure models provide meaningful, actionable insights that help drive key business decisions

Data Exploration and Insights:

• Analyse datasets to identify trends, patterns and opportunities for improving existing models, scorecards, and processes
• Collaborate with the team to create automated reports and dashboards that track how models are performing and provide valuable insights to stakeholders

Model Infrastructure and Automation:

• Maintain and improve the infrastructure supporting the development, deployment, and production lifecycle of machine learning models
• Participate in automating workflows for tasks like model training, validation, and monitoring

Requirements

• 1-3 years of experience in data science or related fields.
• Proven experience as a model developer in machine learning and statistical analysis projects
• Familiarity with programming languages like Python and SQL
• Interest and experience in fintech and credit modelling is a bonus

Others:

• Strong analytical mindset with attention to detail and a problem-solving attitude
• Eager to collaborate and grow in a team that values proactivity, creativity, and continuous learning
• Great communication skills, both for discussing technical solutions and presenting insights to non-technical stakeholders

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