Job Description
- Experience with Python, Machine Learning, and Artificial Intelligence.
- Investment Banking experience
- 5+ years of hands-on KDB development experience.
- Proficiency in using JIRA for issue tracking.
- Strong understanding of financial markets and asset classes.
- Good knowledge of release process and control procedures.
- Strong experience in dealing with geographically diverse teams globally.
- Degree or above in Information Technology or Computer Science.
- Excellent verbal and written communication skills.
Project description
Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse.
The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation (\"MAR\") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform.
This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements.
Responsibilities
Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder.
Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance
This role will work closely with business analysts and trade surveillance users
Provide effort estimates of based on requirements to project managers
Adhere to best practices, coding standards
Keep the specification documentation updated and version controlled in Share point
Skills
Must have
Technical:
5+ years of hands on experience in Development using q/KDB in financial domain.
Proficiency in using JIRA for issue tracking (SCRUM boards)
Prior experience in using ML/AI libraries in solving real world problems is a definite plus Functional:
Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must.
Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus Others:
Education
Degree or above in Information Technology, Computer Science or equivalent
Excellent verbal and written communications skills
Good knowledge of release process and control procedures.
Strong experience in dealing with geographically diverse teams globally
Nice to have
Python, Machine Learning, Artificial Intelligence, Investment Banking
Other
Languages
English: C2 Proficient
Seniority
Senior
