Jun Sheng Email & Phone Number

Beijing City, China

FinTell Financial Services is a financial technology company with a mission to “make finance more intelligent”. FinTell provides advanced big-data risk management products and solutions to variety of financial institutions and service providers in the financial industry. Clients include licensed consumer lending institutions, banks, internet financial services enterprises, collection agencies, insurance companies and rating agencies across China.融慧金科是一家运用移动互联网大数据、人工智能技术和专业化风控经验，为金融机构提供全流程风控解决方案的金融科技公司。融慧金科的服务对象涵盖银行、消金、保险、支付、资管等各类金融机构，应用领域横跨包括信贷业务“获客-贷前-贷中-贷后”在内的完整客户生命周期，产品序列覆盖信用和反欺诈风控、风险定价、额度策略、资产评估等。融慧金科致力于“让金融更智慧”，以“升级金融科技、引领金融智慧”为使命，不仅为金融机构提供优秀的金融科技产品，而且在帮助金融机构诊断业务瓶颈的基础上，提供专业化、体系化和定制化的整体化解决方案和风控决策承接能力，为普惠金融赋能，给金融机构注入智慧。

Beijing City, China

• Built and led the Decision Science team for Risk and Information Management• Developed big data and machine learning capabilities to provide credit evaluation and anti-fraud solutions• Supported risk management decisions for all Baidu financial credit products and Baidu Wallet• Set up Baidu Big Data Risk Analytical Lab as a platform servicing external financial institutions

• Managed an independent model validation team in US and India providing independent model validation across all business lines including credit, marketing, behavior, acquisition, line assignment, fraud, and collection models• Ensured model development and validation at American Express follow established model governance, policy, documentation standard, validation procedures and guideline, and met the regulatory requirements• Managed external regulatory exams and internal audits on model governance and validation• Provided update on model changes and performances to senior management• Drove globalization of best practices and elevated model excellence through innovative research projects

• Led multiple model validation projects – established communication with modeling teams, collected model information, conducted validation, communicated findings with leaders and modeling teams, prepared comprehensive validation reports, and supported relationships with internal auditors and external regulators.• Involved in the design and implementation of Enterprise Model Manager (EMM) system, which is the central repository for all models across American Express and the integrated platform for validation.• Developed enterprise-level Model Validation Automation Suite (MVAS), which significantly reduced analytical model validation time and eliminated personal bias.• Led the innovation and globalization of new reject inference methodology for new accounts risk models.• Led unstructured data mining effort on customer interaction text notes, which resulted in significant discrimination lift for collection models.

• Acquired deep understanding and knowledge of New Account risk modeling system and process, including data and case analysis, modeling, tracking, implementation, decline reasons, and general project management.• Led the development and implementation of new account risk models.• Built and implemented several versions of Short-term Economic Adjustment Model.• Led several business projects: Migrating to the latest FICO versions across all risk management life cycle; Bringing new Size of Wallet, First American Home Value data and new partners’ data to multiple data systems; Providing better New Account decline reason verbiage in line with legal, compliance, and customer service requirements.

Ph.D., Biochemistry

B.S., Biology