AVP- Compliance Analytics

Job Title : Assistant Vice President - Decision Sciences

Department : Compliance Analytics

Location : Bengaluru

Purpose of Department and Purpose of Role :

- Global Analytics Centres (GAC) provides support to various business groups and functions. Members of the GAC are involved in data analysis, model and strategy development and implementation, reporting and data management. These analyses form the information basis for strategic planning by the senior management for businesses and enables effective decision making to satisfy business needs and requirements along with addressing unforeseen challenges.

- There are primarily four job families in GAC: Decision Sciences, Information Management, Analytic Consulting and MI Reporting. This role within the Decision Sciences job family supports various analytical projects for the Compliance Analytics function. This role will be in a team that is expected to develop statistical and judgment based decision rules for the compliance function. This would be achieved via various scorecards, decision trees, other multivariate modeling techniques, forecasting models, metrics and MI, etc.,

- The compliance analytics team will be involved in providing best-in-class Analytics solutions to the Financial Crime and Regulatory Compliance functions across lines of businesses and geographies within the organization. The team caters to both strategy and operations aspect of managing financial crime through a combination of regular processes and new development projects

Job Description :

The incumbent for this role is expected to :

- Lead the effort to assure comprehensive review of all potential compliance activities across the organization through seamless delivery of effective analytical solutions

- Collaborate with business partners to address potential opportunities and needs for analytics- solutions; Conceptualize and build analytical solutions using statistical techniques (if required) to provide insight into the changing dynamics of Compliance activities;

- Partner with stakeholders from Businesses and Regions to identify new opportunities and deliver results; Generate Business Partner confidence and work on obtaining further investment from business

- Implement and execute a transparent communication model with business

- Adhere to all process level SLAs and review them with business on a regular interval

- Facilitate R&D on available data to come up with new and enhanced analysis of data; leverage advanced statistical/ math modelling where required to provide future state analysis and participate in proactive strategy building

- Ensure adherence with all the applicable compliance policies (Data security policy, AML, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, regulatory guidelines etc.) and business standards of Organization as applicable. Take timely action on Audit comments and be able to demonstrate compliance with Internal controls

- Develop a team of motivated and high performing analytics professionals that deliver innovative cutting-edge solutions while providing regular support on existing projects

Skills/Experience Required :

- Master's degree in Statistics, Mathematics, Economics on any other quantitative discipline

- At least 8 years of experience of working in Analytics for BFSI domain. Prior experience of Operations Analytics/ Collections Analytics/ Risk Analytics domain would be strongly preferred.

- Experience of delivering analytical solutions to solve business problems of moderate to high complexity

- Strong analytical thought process and ability to communicate ideas would be required

- Proficiency in analytical tools like SAS, MS Excel and Visualization tools like Spotfire, Qlikview etc

- Basic to intermediate level of knowledge of SQL and experience of working in ORACLE or Teradata environment preferred

- Knowledge of AML domain in general and concepts like Red Flag, Transaction Monitoring, Client Screening in specific would be a strong advantage.

- Understanding of basic Statistical techniques like segmentation, regression, testing would be beneficial.

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