AVP, GRA FCC

Job description

Support delivery of analysis for major global projects & productivity tool development projects within Financial Crime Compliance Global Risk Analytics (FCC GRA). Maintain all business definitions & AML Compliance usage for all data used from source system to AML Compliance monitoring tools. Provide support on Segmentation, CPR, & Analytics Support (Mantas, Norkom & Big data). Support data integrity & testing of new systems & enhance existing automated suspicious activity transaction monitoring systems & Know Your Customer ("KYC") programs. Adhere to Group & regulatory standards, the delivery of analytic tasks & supporting agreed operating plan objectives & the day-to-day business requirements. Provide accurate & timely information on exposures to escalate to management. Form a meaningful working relationship with FCC Operations; Regional GRA Teams & AML FCC peers & stakeholders. Ensure that the Line Management are appropriately advised of material AML TM issues. Provide day to day TM system analytics support. Work effectively with peers & stakeholders across the FCC & GRA functions. Foster positive & professional working relationships within FCC, Global & Regional GRA & colleagues throughout the Group. Maintain & develop positive & professional working relationships with colleagues at the Group & Regional levels. Ensure understanding of functional objectives & goals within GRA. Support diversity & reflect the HSBC values. Assist in the design, testing of data related to the implementation of new & existing AML systems & environments. Communicate effectively to different audiences, including both business & technical parties. Develop & maintain a current knowledge of industry AML initiatives & best practices. Develop general awareness of AML regulatory changes affecting system development projects & assist AML LCOs & project teams in remaining compliant. Support GRA efforts to deliver AML strategic TM objectives while also ensuring BAU control changes & analytics are delivered within the overall governance framework. Deliver analysis to support best practice AML TM Solutions to deliver business objectives & optimal system performance as a global standard. Maintain awareness of operational risk within assigned portfolio & minimize the likelihood of it occurring including its identification, assessment, mitigation & control, loss identification & reporting. Maintain & observe all HSBC control standards & implement & observe the Group Compliance Policy, including the timely implementation of recommendations made by internal/external auditors & external regulators. Conduct data analysis in support of tool development (application development) tasks for BSA/AML Systems, Technology & Data Integrity projects include requesting, profiling, extracting, analyzing, testing, & reviewing data. Develop formal reporting or ad hoc analyses of key categorical & transactional data. Review data quality to ensure reports & analyses are meaningful & accurate; requesting data & validating data formats. Verify control totals & record counts. Author & test code (both front & back end). Author & execute both SQL queries & report. Write, execute, & document test scripts. Support delivery of business analysis initiatives for Group GRA globally across all business lines - RBWM, CMB, GBM & GPB for the full range of project management responsibilities & outreach & liaison activities. Ensure appropriate oversight & governance of initiatives, benefits tracking & realization. Support the delivery the GRA requirements for all AML TM Compliance risk models. Continually reassess the operational risks associated with the role & inherent in the business, taking account of changing economic or market conditions, legal & regulatory requirements, operating procedures & practices, management restructurings, & the impact of new technology

Desired profile

Qualifications :

Bachelor's degree in Finance, Math, Statistics or a related quantitative field plus three (3) years' proven & progressive credit & financial services experience. Experience to include: Experience working with advanced data sets, pivot tables, advanced database & object-oriented design & programming with Oracle SQL, MS SQL, & Python to deliver meaningful business outcomes. Experience applying statistical methods & machine learning algorithms in a big data environment using SAS or Python or R. General understanding of market place AML issues & AML suspicious activity transaction monitoring systems, data mining/analytical tools, & KYC automated solutions. Experience working with business units, developing comprehensive user requirements, & providing recommendations for appropriate automated solutions.