Submitting more applications increases your chances of landing a job.
Here’s how busy the average job seeker was last month:
Opportunities viewed
Applications submitted
Keep exploring and applying to maximize your chances!
Looking for employers with a proven track record of hiring women?
Click here to explore opportunities now!You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for
Would You Be Likely to Participate?
If selected, we will contact you via email with further instructions and details about your participation.
You will receive a $7 payout for answering the survey.
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 Dashboard 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 SharePoint. Skills Must have Technical: 2 + 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 communication 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 Regular
You'll no longer be considered for this role and your application will be removed from the employer's inbox.