SAS is one of the most widely used data analytics software in a broad range of industries all over the globe, for example, financial services, pharmaceuticals, and telecom, you name it. SAS has been evolving into a very powerful tool throughout the past 40 years, and after its adoption to big data technology, there is no doubt that it will continue to be the most trusted platform for data management, reporting, statistical analysis, and predictive modeling.
Skillful SAS analysts are always in high demand in both private and public sectors. The search by keyword 'SAS' on indeed.com easily returns thousands of job postings with competitive salaries.
Unfortunately, as universities and colleges do not usually offer courses that emphasize on SAS skills, it is very difficult for new grads to gain exposure to in-depth SAS projects and thus fail to meet the job requirements of data analysts. WeCloudData is here to bridge the gap. We offer the opportunity for anyone who is interested in becoming a data analyst to understand how SAS helps to tackle the big problems in the real-world businesses. We have invited four leading experts from their fields to share their stories as well as valuable advices on how to effectively prepare yourself for a data analyst career path.
Speakers' Biographies and Topics
Topic: SAS Analytics in Telecom
--- With 10 years of experience in database marketing in telecommunication industry, Charles has received the Innovation Award on organization scale to recognize his extraordinary contribution to the company. He has gained significant insights in marketing analysis, BI reporting, data mining, customer profiling, predictive modeling and campaign performance in X-sell/upsell and retention by using varisity of data warehousing tools and software (SAS base, SAS EG/EM/VA, KXEN/SAP, Teradata, SQL, ORACLE, Hadoop, CDR).
Topic: SAS Use Case - Database Marketing Campaign
--- Liang is currently a senior manager at Scotiabank and he has brought with him 12+ years of experience in product, marketing and risk analytics with SAS. He has a proven record of consistent deliveries through Strategic Planning and Project Management. His excels in SAS/SQL in large data warehouse, problem identification/solving, articulate communication between business and analytics, and effective working relationship development with business partners.
Jonathan Wang, CFA
Topic: Quantitative Modeling Application in Financial Risk Management
Jonathan has over 15 years of experience in Canadian banking industry. He is a seasoned financial professional with expertise across quantitative analysis & modeling, risk management (credit, liquidity & market risk), capital market, collateral management, corporate treasury, and enterprise data warehouse.
Prior to his current senior consulting role in risk analytics and regulatory reporting at a major Canadian bank, he also served many senior management roles in Canadian banks, including the director of Treasury and Global Risk Management, and the senior manager in Financial Modeling.
Jonathan is a CFA charterholder. He is also a certified Personal Financial Planner and SAS modeller. He will best leverage his strong cross-business background to present you a good application of financial modeling in Financial Risk Management (FRM), especially in the context of the inter-relationship between regulatory, financial, risk and capital management issues in Financial Institutions.