The Enterprise Data Management team is seeking an AI Developer to solve complex data challenges, engineer scalable reporting solutions, and deliver actionable insights that inform strategic decisions across the bank.
Requirements
- Strong command of Python for data analysis and scripting, and working knowledge of Java for backend data processing and integration tasks.
- Advanced querying skills across relational databases (PostgreSQL, MSSQL).
- Familiarity with ETL concepts, data modeling, and pipeline orchestration.
- Comfortable switching between tools and languages to solve problems efficiently.
- Experience with DuckDB, Polars, or other high-performance analytical engines.
- Exposure to cloud data platforms like AWS Redshift, Azure Synapse, or Google BigQuery.
- Familiarity with Git for version control and collaborative development.
Responsibilities
- Perform exploratory data analysis (EDA) and statistical profiling using Python (leveraging libraries such as Pandas, NumPy, and SciPy) and Java for backend data processing tasks.
- Develop reusable scripts and modular code for data wrangling, anomaly detection, and KPI tracking.
- Apply object-oriented programming principles to build scalable data pipelines and analytical utilities.
- Design and implement interactive dashboards using Tableau, Power BI, or custom-built web interfaces.
- Utilize DAX, Power Query, and Salesforce APIs to integrate disparate data sources into unified reporting layers.
- Build and maintain ETL workflows using Python, Java, and SQL-based tools to extract data from PostgreSQL, MSSQL, and cloud-based data lakes.
- Automate data cleansing and transformation routines using Apache POI (for Excel automation in Java), VBA, and Power Query.
Other
- Ability to work closely with data scientists, business stakeholders, and technical teams to translate requirements into analytical solutions.
- Prior experience in financial services or other regulated industries.
- 2+ years of experience in data analysis, software development, or business intelligence, preferably in financial services or a regulated industry.
- Excellent communication and stakeholder management skills.
- High proficiency in technical writing and documentation
