Backend Python Developer

Job Description

This is a development position for establishing and implementing new or revised applications and programs in the Technology team.

Responsible for data extraction and data analysis from structured and unstructured sources.

Develop systems to clean results to build predictive and prescriptive models and implement them in a production environment by partnering with technology and business partners.

Address complex problems involving financial data with a specific focus on credit risk management.

Requires an open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problems.

Job Duties

• Develop plans and coordinate with teams for all analytical efforts.
• Manage deliverables in an agile environment and maintain clear communication with all model stakeholders.
• Present status, issues, and analytical findings to various audience groups like business, technology management, risk review, model governance, etc.
• Data modelling and cleaning from internal and external sources.
• Build predictive and prescriptive models by manipulating and cleaning results.
• Develop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to production systems using the SDLC process.
• Implement features through the ML lifecycle (Development, Testing, Training, Production, Monitoring/Evaluation) to ensure scalability and reliability.

Required Education

PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.

Bachelor’s degree/University degree or equivalent experience in STEM.

Must Have Skills/Attributes

• MySQL
• PySpark
• Python
• Spark
• SQL

Desired

• Industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems
• Experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration
• Strong background of ML/DL/LLM algorithms, model architectures, and training techniques
• Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages
• Proficiency with tools and LLMs
• Ability to work independently and collaboratively within a team
• Experience in GenAI/LLMs projects
• Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL)
• Background in financial business, like banking, risk management
• Should be familiar with capital markets, financial instruments and modeling

Benefits

For information and details on employment benefits offered with this position, please visit here.

Contact Information

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.