Credit Suisse - Exempt Non-Officer - Reconciliation Control & Analytics

Credit Suisse is a leading global wealth manager with strong investment banking and asset management capabilities. Founded in 1856, Credit Suisse has expanded to be global force employing over 45,000 people in 50 countries. With new leadership, a new strategy and a new streamlined global organization, we are set for growth. We partner across business, division and regions to create innovative solutions to meet the needs of our clients and to help our employees grow. It is high priority for us to continually invest in our employees by providing ongoing opportunities for training, networking and mobility. Join us and let's shape the future of Credit Suisse together.

We Offer - 

- Standardization of global reconciliation processes, controls & MI

- Improvement in existing MIS structure, governance & transparency

- Oversight manager for vendor performance management & engagement

- Issue & communication management incl. Regional Entity Oversights

- Execution & integrity of daily checks & controls

- Support on new business & other entity related or process specific projects

- Daily production support for Non-Core Reconciliations

- 360 degrees Partner management & engagement

- Ensure compliance with CS policies, alignment with CS standards on conducts & ethics

- Liaison with Internal and External Audit and Regulators

- Drive & support periodic control reviews in conjunction with OC&R

- Leading innovation using disruptive & tactical technology in service execution, delivery & governance

- Functional alignment to overall reconciliations strategies

- Improvements to Operating Model, Standards and Governance

You Offer

- This role is to handle the analysis and development of the controls, reporting and analytics across the Reconciliations department. You are expected to deliver against the following core responsibilities:

- Accountable for providing a high level risk review, process performance, efficiency and relationship management

- Solid skills with computers, operating systems and software (MS Office Suite, MS Project, and other IT applications)

- Strong VBA skills and demonstrable data analysis and data analytic skills including: mining data, interpreting results, working with statistics, trends, etc.

- You will look for improvements in execution to provide effective controls and efficiency.

- Drive root cause analysis

- Liaison with Ops Business Partners, Front Office, Trade Management and IT groups as appropriate

- Participate in UAT testing, implementation and integration of new reconciliation processes as required

- Perform analysis of the existing reconciliation processes in order to assess the strength of the controls and identify areas for improvement

- Work with IT Teams to get the raw data and review the extraction criteria, normalization and data cleansing processes.

- Implement Data Analytics into production management of Reconciliations and Trade Validation Controls.

- Help coordinate the use of Data Analytics in the ongoing risk assessment of trade validation processes across reconciliations

- Plan, perform and manage execution/reporting on Tactical Process and Strategic program

- Participate in short term data mining activities aimed at profiling process exceptions.

- Dedicatedly engage key partners to find opportunities to use technology and analytics in connection with risk assessment and production management.

- Should be flexible with between APAC & EMEA support hours

Skills & Knowledge

- Strong academic record (minimum Degree) with 10+ year's prior experience of financial services.

- Previous reconciliations experience is desirable

- Knowledge of Cash, Equities, FI, OTC, FX and Money market products.

Demonstrable analytical skills

- Solid skills with computers, operating systems and software (MS Office Suite, MS Project, and other IT applications)

- Strong VBA skills and demonstrable data analysis and data analytic skills including: mining data, interpreting results, working with statistics, trends, etc.

- Knowledge of data quality and data cleansing techniques.

- Experience of using data analytics and visualization products and technologies

- Experience of banking or asset management environments.

- You should have strong analytical skills and problem solving capabilities.

- You should have strong interpersonal skills.

- Excellent presentation and report writing skills.

- You should have the ability to articulate complex concepts in a concise manner in both written and verbal presentations across all levels of management.

- You should have deep understanding of the importance of handling risk and quality on data projects.