Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Programming skills in Python with experience in frontend scripting languages such as Node.JS & React
- Exposure to and understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Knowledge of deployment processes, including experience with GIT and version control systems for efficient collaboration and code management
- Familiarity with data structures and algorithms, enabling effective problem-solving and optimization
- Understanding of the software development lifecycle, with a focus on incorporating analytics / AI components and adhering to best practices in version control and code quality
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Knowledge of financial products and services including trading, investment and risk management
- Experience in data pre-processing, feature engineering, and data analysis would be beneficial
- Experience in developing APIs and integrating AI models into software applications