Vacancy expired!
- 10+ years of software engineering experience
- 7+ years of experience in one or a combination of the following: securities, quantitative trading, artificial intelligence, or machine learning
- Java Development Experience
- Enterprise Risk Experience
- Capital Markets Experience
- Automation experience (Selenium, Rest Assured, UFT, QTP etc)
- Python experience
- Structure products experience
- Experience working with quants
- Experience with bond pricing
- Experience with risk and/or PnL
- Automation Engineer skill set
- Masters degree or higher in computer science or finance
- An industry-standard technology certification
- Basic knowledge of industry regulations related to building technological solutions
- Leads, designs, develops, test, and implements applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies.
- Resolves coding, testing and escalated platform issues of a technically challenging nature.
- Responsible for defining opportunities across IT to maximize resource utilization and improve processes while reducing cost.
- Ensures that systems are monitored to increase operational efficiency and managed to mitigate risk.
- Partners with Management, Dev, QA, production support and platform engineering teams effectively.
- Focuses on building relevant capabilities in the organization to keep pace with demand and best practices in the industry.
- Manages vendor/contractor partnerships to improve efficiency and effectiveness.
- Designs, codes, tests, debugs and documents programs using Agile development practices.
- Operates in restricted to niche domains: such as Capital Markets, Quants, Artificial Intelligence, Machine Learning.
Vacancy expired!