Job Sector:Financial Services
To develop, deploy and manage a trade and electronic communication surveillance data framework which will be used to identify actual or potential instances of Market Abuse in the CIB Global Markets business and ensure compliance to the relevant regulatory requirements and internal policies and procedures. This will entail applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with CIB Global Markets, data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.
Surveillance Data Analytics:
a. The development, deployment and management of trade and electronic surveillance data models which will be used to identify actual or potential instances of Market Abuse and/or misconduct.
b. To partner with the Global Market Business to understand trade lifecycles and apply this knowledge to the Market Abuse Surveillance framework.
The development, deployment and management of an automated surveillance reporting framework which will be used to report on surveillance data. Prepare statistics, dashboards and information for both internal and external consumption. Submit reports and Management Information to the line manager for use by the relevant steering committee.
Management of surveillance system rulesets:
a. To perform analysis and simulation exercises to test surveillance data hypothesis with regards to surveillance rulesets
b. To act as a custodian of the surveillance system rulesets and ensure that rules are calibrated optimally, and false positive market abuse alerts are minimized.
To assist the Market Abuse Surveillance Compliance team with sourcing, analyzing and interpreting trade and electronic communication data during internal and external regulatory investigations.
Risk, Regulatory and Compliance
a. Provide insight to CIB Compliance and Global Markets on all Surveillance data matters.
b. Review and maintain an understanding of policies, processes, procedures and systems to ensure all analyses is aligned accordingly and with the view to find better ways to execute tasks, improve systems, training material and the functional framework and to influence Group Standards.
c. Stay abreast of financial market developments, new trading products and any new developments and /or changes to the legislative and regulatory environment across all relevant jurisdictions in order to utilise this information to inform the framework, to create awareness around new modus operandi, enhance procedures and to identify potential risks.
d. Implement and provide feedback to line management on the delivery of projects and initiatives to ensure effective on time delivery.
a. Identify improvements and update the Framework for the function to ensure that sufficient measures are in place to manage current and potential Market Abuse risks across global markets operations.
b. Assisting the Market Abuse Surveillance Compliance team with the execution and delivery of strategic surveillance related projects.
Provide expert advice and guidance to stakeholders and clients (Trusted Advisor). Resolve queries regarding the analysis, information and reports. Engage in the appropriate forums and workshops to convey analysis findings to wider audiences when required.
Build, develop and maintain relationships with the key internal and external stakeholders relevant to the functional area and / or area of specialisation.
Preferred Qualification and Experience
5-7 years - Experience in working with unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualisation tools, such as Power BI, Tableau, etc.
3-5 years A strong understanding of financial markets and trading of financial instruments
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