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Python Developer - Risk Technology
Company | Sumitomo Mitsui Banking Corporation |
Address | Jersey City, NJ, United States |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting,Banking,Financial Services |
Expires | 2023-08-02 |
Posted at | 10 months ago |
SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG’s shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.
- Working closely with our Production Support Team to help diagnose/resolve any reported issues.
- Building Enterprise grade Python based software solutions (front to back).
- Working closely with other Shared Services Functions within Technology such as the QA, DBA and Infrastructure Teams.
- Ensuring that programs are written to the highest standards (e.g. Unit tests) and technical specifications.
- Working directly with our Business Users on their requirements.
- Experience with Agile (and SDLC) Methodologies.
- Basic familiarity with Financial Risk Management concepts.
- Prior experience with Building/Deploying containerized software (preferably Python) on modern DevOps CI/CD pipelines.
- Experience with MS-SQL or other SQL (or No-SQL) database architectures.
- 10+ years of prior software development experience ideally centered around Python.
- Excellent verbal and written communication skills.
- Computer Science Degree (or equivalent).
- Experience working in the Banking/Hedge Fund industry.
- Experience using modern data science, data rangling, modelling, analytic and RPA software platforms (e.g. Anaconda, Databricks, Domino, Altryx, TriFacta, UI Path, DataRobot).
- Experience building and deploying solutions on Cloud Platforms such as AWS or Azure.
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