Qian Shen Email and Phone Number

2024 Barclays Global GenAI Hackathon- Campus Winner and Consistently Excellent Award at Whippany campus (2024 June)2019 Barclays Recognition Award of Excellence (2019 Q2) • Generative AI Leadership: Expertise in identifying innovative opportunities, driving proof-of-concept (POC) initiatives, and building solutions leveraging Copilot and Large Language Models (LLMs) on platforms like AWS Bedrock. • Governance and Responsible AI: Extensive experience in creating governance frameworks for GenAI projects, ensuring responsible AI use, and conducting evaluations of AI solutions to align with ethical and organizational standards. • Copilot Management and Upskilling: Managed Copilot use case experiments, pipeline development, license management, and rollout across the department. Developed learning and development modules to upskill the department and drive the AI literacy strategy. • Award-Winning Leadership: Led a team to win the Campus Winner and Consistently Excellent Award in the 2024 Barclays Global GenAI Hackathon at the Whippany campus.• Manage the US Data Analytics team and other reports in UK via function reporting line, developing talent and enabling high performance• Led the design, development and implementation of an email automation using outlook function in Python, to send emails automatically including timely tailored email content and tool recommendation• Hands-on in unstructured data projects involving text mining, topic modeling and sentimental analysis using Natural Language Processing ML techniques to generate data insights from unstructured text data.• Developed web-driver automation capability using Selenium Python to perform web-scrapping and browser application testing. • Developed Process Mining capability using pm4py in Python and successfully applied the technique in BUK consumer call log data and ticket resolution workflow to automate business control testing with values in efficiency and effectiveness gain.

• Led the validation work of credit risk models and big data quality checks using SAS and SQL• Developed alternative models based on the raw development data, performing data manipulation, step-wise variable selection, data clustering and regression modelling to optimize model performance• Leveraged millions of retail account data and performed sensitivity analysis with finance team to optimize business rules in credit decision making• Oversaw data quality check and reject inference process with credit bureaus to evaluate data insights• In charge of quarterly portfolio performance analytics and reporting to stakeholders and regional CRO• Managed out-sourced team, overseeing their validation work and signing off the deliverables

• Sourced data and delivered weekly financial reporting to the New York branch CEO covering key financial metrics including new account acquisition, loan balance, deposit increase, P&L and etc.• Reviewed annual financial statements, performed credit research and evaluated performance metrics to support decision making in syndication loans applications from local merchants and large institutions

• Developed equity pricing models using SAS to optimize the equity market P&L• Monitored equity portfolio performance monthly, analyzed company’s financial statements and explored key performance measurement by market segmentation using Barra software• Performed data analytics using Python and SAS to identify potential equity investment opportunities based on company’s P&L, volatility, debt-to-revenue ratio and other key financial statement ratios

• Course Assistant for 'Global Capital Market' course (2013 Fall)• Course Assistant for 'Asset Allocation' course (2013 Spring)• Assisted instructor in managing class size of over 80, responsible for 8 homeworks and 2 exams correction and exam proctoring.

• Conducted big data mining using the business historical data to explore modeling opportunities to predict the daily demand and supply• Introduced new variables such as weather, holidays etc. into the existing regression forecasting model and improved the forecasting accuracy by 2% in R squared

• Engaged in private equity investment deal due diligence, such as assessing the competitive market landscape, evaluating the target company relating to its business value, market capital and potential P&L margins• Assisted the US broaching-machine outsourcing project, analyzed market position, product mix, revenue generation, risk profiles to support its manufacturing outsourcing to China• Engaged in spectacles industry research through analysis of product line and competitive landscape• Attended deal conference with partners, prepared presentation materials and acquired knowledge in deal selection process in US fund

• Worked with partners and senior managers on 3 major projects across areas of manufacturing, retail and financial industry focusing on cost management, accounting framework automation, and business strategies• Closely interacted with senior stakeholders, partners and senior managers, participated in on-site due diligence and presented field work results at clients’ meetings• Researched market and regulatory factors including material price and volatility, logistic cost, regulation constraints etc.to decide optimal factory site for an Indian manufacturing company• Analyzed market factors, growth potentials and risk aspects to examine expansion opportunity in China for a global medical device corporation in US

• Engaged in a managerial accounting project for a top national bank to restructure and streamline its accounting systems and framework• Independently completed an industrial and financial integration case study for China Resources Co.