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Credit Suisse is a leading global wealth manager with strong investment banking capabilities. Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations. Embodying entrepreneurial spirit, Credit Suisse delivers holistic financial solutions to our clients, including innovative products and specially tailored advice. Striving for quality and excellence in our work, we recognize and reward extraordinary performance among our employees, provide wide-ranging training and development opportunities, and benefit from a diverse range of perspectives to create value for our clients, shareholders and communities. We are Credit Suisse.
We Offer The Global Financial Crime Controls Testing & Assurance ("FC CTA") function is a globally centralized independent testing program within the Financial Crime Compliance ("FCC") group, which assesses the effectiveness of the design and operation of key 1st and 2nd Line of Defense controls in identifying, managing, and/or mitigating financial crime risks (incl. Anti-Money Laundering, Anti-Bribery and Corruption, and Sanctions). The Senior Data Analyst will report into a Global CTA Data Analytics and Assurance Team Lead and will lead and perform data analysis to assess the data integrity in key AML/CTF systems, carry out the design and effectiveness testing of key financial crime controls and implement the testing automation for the global peers within the FC CTA function. This is an exciting career opportunity to join a team looking to expand its data analytics capabilities in order to introduce new techniques and approaches, and further enhance the depth and coverage of financial crime control testing. Additionally, the position will provide a platform to interact with global and cross-functional stakeholders. The role would be based in Zurich. Responsibilities for this role include but are not limited to:
Support the FC CTA group by gathering testing requirements from team and proposing feasible and effective data analytics solutions;
Define which data is required for data analytics, and engage with appropriate IT platform owners to acquire such data;
Prepare, cleanse and upload data into chosen data analytics too(s)l to perform analyses;
Proactively identify areas of financial crime risk, areas of improvement, and root causes of issues identified;
Liaise with control owners/performers to discuss identified issues, root cause, severity level, course of action, due dates, and assigned issue and action owner(s);
Ensure that effective and timely corrective action plans are in place to address financial crime risks and issues identified;
Prepare reports with detailed summaries and visual aids of findings and issues identified to present to Senior Management and control owners;
Ensure any deficiencies identified in reviews are documented in the appropriate systems;
Assess results of reviews to identify trends and opportunities for program or control enhancement;
Update and maintain algorithms and codes used in data analytics reviews;
Support the maintenance of global CTA standards based on regional changes to controls and identified risks and priorities; and
Other general FCC responsibilities, as needed.
A department, which values Diversity and Inclusion (D&I) and is committed to realizing the firm's D&I ambition, which is an integral part of our global Conduct and Ethics Standards.
A university degree in Statistics, Mathematics, Computer Science or any other quantitative field
At least 3-5 years' experience in using or performing the following software/tools/techniques:
(Mandatory) Strong data preparation, extraction, transformation, and loading (ETL) and data engineering knowledge and experience.
(Mandatory) Usage of computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
(Mandatory) Analyzing a large volume of text data by building algorithms based on Natural Language Processing (NLP) techniques and tools to transform natural language into useful features.
(Preferred) Visualizing/presenting data in a meaningful and aesthetically pleasing way for stakeholders using relevant tools such as Tableau, Microsoft Power BI or Microsoft Excel Chart function, or a strong interest to learn this skill set.
(Added value) Creating and applying advanced machine learning algorithms to compare/contrast data sets, or a self-driven willingness to learn this skill set and lead the initiative.
Strong analytical mindset and good understanding of an end-to-end analytics process involving transforming business requirements into compelling insights.
High degree of accuracy, attention to detail, and well-organized working method.
An open, dedicated, and team-oriented attitude.
Demonstrated ability to work independently and find a workable and creative way to obtain information in spite of unexpected challenges and hurdles.
Excellent verbal and written communication skills in English to communicate results of data analysis to both technical and non-technical partners and peers. Knowledge of German is a plus..
Previous working experience within international banking or financial institutions, optimally gathered in compliance, business risk management, and/or audit will be favorable.
Knowledge of AMLA, AMLO-FINMA legislation and regulations, and FATF international recommendations is a plus.
A drive to learn and master new technologies and techniques.
Understands the value of diversity in the workplace and is dedicated to fostering an inclusive culture in all aspects of working life so that people from all backgrounds receive equal treatment, realize their full potential and can bring their full, authentic selves to work
*LI-CSJOB* Ms. G. Wiendlocha would be deligthed to receive your application. Please apply via career portal.
Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.