Senior KDB Developer
luxsoft
Job Summary
This project focuses on enhancing alerts and data sourcing from financial market order and trade data. It also involves UI/workflow improvements to meet regulatory obligations, including Market Abuse Regulation and Dodd Frank. The role requires software programming using Q/KDB backend and UI development with Delta Stream Dash builder. The candidate will perform data analysis, apply ML/AI for solutions, and work closely with business analysts and trade surveillance users. They will also provide effort estimates, adhere to coding standards, and maintain updated documentation. The candidate will work in the financial domain with focus on surveillance platforms.
Must Have
- 5+ years of hands-on experience in KDB development.
- Proficiency in using JIRA for issue tracking (SCRUM boards).
- Strong understanding of financial markets and asset classes.
- Surveillance domain knowledge and regulatory experience.
- Degree or above in IT, Computer Science or equivalent.
- Excellent verbal and written communication skills.
- Good knowledge of release and control procedures.
- Experience in dealing with geographically diverse teams.
Good to Have
- Experience with Python, Machine Learning, Artificial Intelligence, and Investment Banking.
Job Description
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