The Compliance 2nd Line Monitoring and Testing team (CTL) provides regular and independent testing and monitoring of key controls and processes related to the management of those compliance risk associated with the business activities of Société Générale in the U.
S. ( SGUS ).CTL is a key component of the SGUS overall Compliance program and is part of an effective compliance risk management program .
The candidate will be responsible for performing data analytics functions to assist CTL Day-to-day responsibilities will include :
Assisting in data analytics activities across assessment, testing and monitoring activities with a focus on automation of testing activities
Applying investigative skills and analytical methods to examine data, assess business impacts, and present actionable intelligence to support fact-based decisions
Employing advanced analytic techniques, such as leveraging visualization tools (e.g., Tableau, Click View, Tableau, etc.
predictive modeling (e.g., SPSS, SAS, neural networks), and geospatial analyses
Identifying and developing appropriate analytical and robotic tools and applications as necessary (e.g., web-based application modules, database reports, user interfaces)
Able to understand various data structures and common methods in data transformation
Increasing value and reducing costs of compliance-related activities
Support in helping maintain a data repository that has the appropriate tools to support analytic functions
Applying industry and technical expertise to identify and present opportunities for effectively mitigating risk, improving business performance, increasing value and reducing costs of CTL-related activities
Assisting with building a sustainable data platform for analyzing key metrics and identifying trends
Competencies, Skills and Qualifications :
General understanding of Compliance rules, regulations and best practices
Strong attention to detail
Ability to work independently
Excellent oral and written communication skills
Ability to communicate well across all levels of an organization
Technical Skills & Knowledge :
Proficient in MS Office, including MS Word and Excel
Experienced in using advanced automation robotic tools such as Automation Anywhere, Blue Prism, Pega, etc.
Understanding of database concepts, including building relationships between tables, grouping data, and producing cohesive analyses;
Ability to leverage data manipulation and analysis technologies inclusive of Microsoft SQL Server, SQL, Oracle, DB2, and Share Point tools
Working Knowledge of any of the following : R, SAS, Python, PMML, STATA, or SPSS
Prior work experience :
2-4 years of experience in a Data Analytics role
2-4 years of which are in a large financial services firm; and
2-4 years of which are related to Compliance / Risk Management topics
Qualifications (Experience, Education, Languages) :
Bachelor's degree in statistics, data analytics, computer science, mathematics, engineering or applied sciences
French a plus but not required