Daniel Huber

Professional Summary

Experienced Team Lead combining 10+ years of financial technology experience with emerging ML/AI expertise. Currently building deep learning capabilities while leading a development team in mission-critical financial systems. Proven track record in stakeholder management, incident investigation, and team leadership in high-pressure financial environments.

10+
Years Financial Technology
3
Years Team Leadership
500+
Hours ML/AI Learning
4
Developers Managed

Professional Experience

Team Lead Sophis Core Development - Director

Leonteq Securities AG, Zürich, Switzerland

Jan 2023 - Present (2+ years)

Leading a team of 4 developers while serving as primary interface between technical team and business stakeholders. Managing incident investigations, requirements estimation for Business Analysts, and coordinating with operational risk teams.

Global operations leadership: Daily coordination across Zürich, Singapore, Hong Kong, Guernsey, Amsterdam, and Lisbon offices
24/7 production support escalation point for mission-critical trading platform across all time zones
Significantly improved platform stability and release process reliability since assuming team leadership
Requirements analysis and estimation for Business Analyst requests across global stakeholder groups
Architected distributed EOD reporting system: distribution across 70 parallel processes, significantly reducing runtime and improving stability
Expert-level incident resolution: Rapid root cause analysis and cross-system issue isolation

Senior Software Developer - Director

Leonteq Securities AG, Zürich, Switzerland

Apr 2021 - Dec 2022 (1 year 9 months)

Enhanced system monitoring using Grafana and Kibana for real-time analytics. Developed intraday PNL/PLA reporting systems for trading desk. Key contributor to critical projects including LIBOR migration.

Built monitoring dashboards with Grafana/Kibana
Implemented real-time trading analytics and reporting
Enhanced mirror booking and implementation for a generic booking model driven by business analysts, significantly reducing client onboarding complexity
Key contributor to LIBOR migration project

Software Developer - Associate

Leonteq Securities AG, Zürich, Switzerland

Jan 2016 - Mar 2021 (5+ years)

Progressed through multiple roles focusing on automation, risk management, and regulatory compliance.

2020-2021: Key team member in Sophis Risque version migration (v6.3 to Fusion 7)
2019: Automation tools for Trading & Treasury (C#, WPF, SQL)
2016-2019: Developed analytics platform for full instrument pricing coverage
Part of regulatory projects (MIFID II, SFTR, 871m)

Software Developer - Analyst

Leonteq Securities AG, Zürich, Switzerland

Oct 2014 - Dec 2015 (1 year 3 months)

Focused on reporting automation and distributed system implementation.

Enhancements for risk reporting systems
Barrier Monitoring
Automated instrument creation reducing manual work by 80%

Education

Informatik-Ingenieur FH, Computer Science

University of Applied Sciences FHNW

2011 - 2014

Bachelor's degree in Computer Science with focus on practical software engineering, algorithms, and system design. Completed industry-relevant projects including algorithmic trading, GPU programming, and financial portfolio management systems.

Mathematics

ETH Zürich

2009 - 2011

Mathematics studies at Switzerland's premier technical university, building strong analytical and problem-solving foundations.

Certifications

Deep Learning Specialization

DeepLearning.AI

In Progress

Advanced course covering neural networks, deep learning, structuring ML projects, CNNs, and sequence models. Building advanced AI capabilities.

Mathematics for Machine Learning and Data Science

DeepLearning.AI

Completed: June 2025

Comprehensive mathematics program covering linear algebra, calculus, probability, and statistics essential for ML and data science.

Machine Learning Specialization

Stanford University & DeepLearning.AI

Completed: March 2025

Comprehensive machine learning program covering supervised learning, unsupervised learning, neural networks, and deep learning fundamentals.

Investing in Structured Products Program

IMD Business School

Completed: August 2022

Advanced program focusing on structured products investment strategies, risk management, and market dynamics.

Technical Skills

ML/AI Skills (Personal Development)

Machine Learning Deep Learning Python TensorFlow/PyTorch Claude Code MCP Development

500+ hours of structured learning

Leadership & Management

Team Leadership Stakeholder Management Project Management SCRUM Incident Investigation

Financial Technology

Sophis Risque Derivatives Risk Management Trading Systems Regulatory Compliance

Programming

C# Oracle SQL JavaScript C++ WPF .NET Blazor

Current Projects (Personal Time)

Investing 15-20 hours/week in ML/AI learning alongside leadership role

TradingLab - ML Integration

Personal project combining financial domain expertise with ML skills. Implementing machine learning algorithms for trading strategy optimization.

Status: Phase 3 of 4 - ML Training Implementation

Internal AI Tooling (MCP Development)

Built mcp-ms-sql-server for database integration. Completed AI workflow automation tools and Claude Code integration for financial workflows.

Status: 90% complete - Exploring AI integration in enterprise workflows

Deep Learning Specialization

Progressing through DeepLearning.AI courses on neural networks, CNNs, and sequence models.

Status: 5% complete