Python Developer

About the role

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Responsibilities

• Perform data mining by manipulating and drawing insights from large unstructured datasets.
• Develop end-to-end Machine Learning prototypes and scale them to run in production environments. Including data cleaning, pre-processing, model selection, hyperparameter tuning, and prediction generation.
• Design and work on state-of-the-art Machine Learning algorithms to build a data classification model.
• Built interactive dashboards and integrated it with model's training and validation pipelines.
• Provide assistance with a product or product component development within the technology domain.
• Provide third line support to identify the root cause of issues and react to systems and application outages or networking issues.
• Support projects and provide project status updates to project manager or Sr. Engineer.
• Partner with development teams to identify engineering requirements and assist with defining application/system requirements and processes.

Requirements

• Bachelor’s degree/University degree or equivalent experience
• 2-5 years of relevant experience with Python and Big Data
• Languages: Python, R, MATLAB, SQL.
• Frameworks: PyTorch, Scikit-learn, NumPy, Pandas, Seaborn, Matplotlib, Plotly, Flask, Tableau, Keras, stats models.
• Tools and Services: Docker, AWS (Amazon Web Services), Apache Spark, Git.
• Expertise: Machine Learning, Deep Learning, Statistics Analysis and Computing, Data Visualization, Data Wrangling, Data Modelling and Evaluation, Model Deployment
• Experience working in Financial Services or a large complex and/or global environment is a plus
• Consistently demonstrates clear and concise written and verbal communication
• Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
• Demonstrated analytic/diagnostic skills
• Ability to work in a matrix environment and partner with virtual teams
• Ability to work independently, prioritize, and take ownership of various parts of a project or initiative
• Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements
• Proven track record of operational process change and improvement

Qualifications

• Medical Insurance
• Dental & Orthodontia Benefits
• Vision Benefits
• Health Savings Account (HSA)
• Health and Dependent Care Flexible Spending Accounts
• Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
• Hospital Indemnity Insurance
• 401(k) including match with pre and post-tax options
• Paid Sick Time Leave
• Legal and Identity Protection Plans
• Pre-tax Commuter Benefit
• 529 College Saver Plan

Skills

• Machine Learning
• Deep Learning
• Statistics Analysis and Computing
• Data Visualization
• Data Wrangling
• Data Modelling and Evaluation
• Model Deployment

Benefits

• Medical Insurance
• Dental & Orthodontia Benefits
• Vision Benefits
• Health Savings Account (HSA)
• Health and Dependent Care Flexible Spending Accounts
• Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
• Hospital Indemnity Insurance
• 401(k) including match with pre and post-tax options
• Paid Sick Time Leave
• Legal and Identity Protection Plans
• Pre-tax Commuter Benefit
• 529 College Saver Plan