Philipp Gschoepf

• Phinorm provides solutions in the defence space

• Co-managed a USD 40 billion fixed income arbitrage portfolio • Negotiated strategic partnerships with NGOs, consultancies, FCMG companies, supply chain partners and large financial institutions. • Built end-to-end IT systems for 3 clients to enable safe and scalable execution of AI capabilities. Built and launched EU regulation compliant generative AI and agentic AI systems. • Directed overhaul of a 7.6 million line legacy system to async microservices architecture

-Organisational impact: Created and led Group AI (230 AI staff across 18 markets). Established AI Council and 2 AI standards (~200 AI Ethic assessments p.a.). Led 2 AI strategies (both several hundred million USD in impact, more than 4x investment). -Performance against target: Uplifted “deep-AI enabled processes” KPI from 0% to 25% within 3 years (target: 20%) -Role scope: Responsible for AI strategy, go-to market (130 launches), budget allocation (more than hundred million USD), MLOps, and A/B testing. Led RFPs / RFIs in strategy, sales agent service and call center. -Deliveries: Sales product comparison, lifelike AI voice calls (higher average premium payment collected than human caller), deep AI job interview, TAT reducing sales lead solutions (30% higher sales agents target meeting).

-Organisational impact: Created and led the global AI team, growing an initial headcount of 4 to 19 over four years. Created & established the AI governance. -Performance against target: Designed, built, integrated and mass-market deployed 74 APIs, 13 websites and 2 apps to 17 million users against target KPI of 10 million users. -Role Scope: Led the areas of AI, AI UI design, AI App Development and MLOps. Set up the company’s first big data environment. R&D; full stack commercial launch of innovations. -Deliveries: AI sales lead management (detected 79% of cold leads). Illness detection and SIO grade underwriting from facial video and IoT – significantly beating Nature published accuracies in some cases. Achieved 57% 3-day stock movement prediction accuracy with natural language AI. MLOps + big data frameworks reduce project launch from 11 months to 90 days. Facial login at 99.8% accuracy. Strategy decision AI leveraging satellite images and social media.

-Led a team of 19 (2 BI specialists, 5 Data Scientists, 4 Deep Learning Engineers, 3 Big Data Engineers, 1 UI designer and 4 App Developers) -Facilitated AI and deep learning transformations in 14 vastly different markets

-Built company-first big data environment & developed (bespoke-) deep machine learning algorithms on 2.3TB of data. -Customer preference prediction in real-time with social media tweets and satellite image AI

-Researched AI for extreme events measurement in high-dimensional systems as a direct report to Prof. Dr. Karl Haerdle, Germany's 2nd most cited mathematician. -Organized 2 academic conferences and presented at 7 international research conferences -Taught several Bachelor level AI courses

-Responsible for ad-hoc margin calculation and exercise of margin calls -Performed database management and AI process automation -Handling fixed income, ForEx, commodity and equity derivatives

-Managed a team of 10 -Administered the IT (database management)

-Prepared the year-end results -Completed the booking of 5000 invoices

-Graduated within the best performing 10% of students -Specialized in financial econometric, time series analysis and machine learning.

-Best student of the year (out of 150 students)