Hi, I'm Manuel Daziale
A
Italian professional with solid experience in building risk, quantitative & financial tailor made products and automation tools
About
I am a Quantitative Product Specialist @ UBS and a passionate techie who enjoys coding. I have a solid technical experience in Python and I am currently enhancing Machine Learning, Quantum Computing and DevOps/MLOps skills. These areas are accompanied by solid knowledge of equity, fixed income, derivatives, commodities, funds and FX. I have a deep interest in quantum computing, big data, AI, DevOps, MLOps, predictive analysis, risk and econometric modelling.
- Languages: Python, VBA, SQL, Bash, Unix, Apache Spark, HTML/CSS, R, C++, MATLAB
- Databases: MySQL, Oracle DB
- Frameworks & Libraries: Scikit-learn, SciPy, Numpy, Pandas, Statsmodels, Boto3, Requests, Flask, FastAPI, Matplotlib, Plotly, Seaborn, BeautifulSoup, Xlwings
- Tools & Technologies: Git, Docker, AWS, Postman, Palantir Foundry
- Workflow & Design: JIRA, Confluence, Figma, Microsoft Excel, Word, PowerPoint, OneNote, Outlook, Adobe Photoshop, Illustrator, Acrobat Pro
- Financials: Refinitiv Workspace/Eikon, Bloomberg
Experience
- Support risk management, ongoing monitoring and reporting
- Monitor financial markets to anticipate risk across products and geographies
- Build quantitative tools and processes to improve GWM risk management
- Conduct quantitative analysis for methodology changes impacting Lombard lending and derivatives
- Tools: Python, SQL, Confluence, JIRA, Excel, Word, Power Point
- Analyze complex business processes and identify business needs (providing relevant product measurements and metrics)
- Design scalable digital solutions (documenting functional and non-functional requirements, devising test cases, automating regression tests)
- Communicate all aspect of architecture (operating model, architecture principles, target architectures, standards and KPIs) to technical and non-technical audience
- Drive Product Management and Tech Transformation topics supporting modernization and automation of Business
- Tools: Python, SQL, Postman, Confluence, JIRA, Excel, Word, Power Point
- Designing, building and implementing Python scalable analytics to make financial workflows empowered by machine learning, statistical/econometrics models and streaming trading data
- Leading end to end technical software/product development lifecycle
- Cooperating with internal and external stakeholders on the merits of engineering and technology discussion, capabilities, product roadmaps and status
- Tools: Python, GIT, AWS, Postman, Figma, Confluence, JIRA, Excel, Word, Power Point
- Develop, maintain, and enhance models for credit risk, market risk, and/or counterparty credit, including risk capital and/or stress testing
- Develop, maintain, and enhance technical documentation, including project plans, model descriptions, mathematical derivations, data analyses, process and quality controls
- Develop and implement methodologies, algorithms and diagnostic tools for testing model robustness, stability, reliability, performance, and quality control of modelling data
- Support various tasks in response to regulatory and internal risk management requirements
- Tools: Python, GIT, Excel, Word, Power Point
- Member of a cross-functional team aimed to deliver risk management and capital market advisory services for financial services costumers across Europe and Middle East
- Member of Capability Network (CN) Quantitative Risk Framework
- Leading Swiss multinational bank Project: Designing, building, tuning and maintaining large scale ETL Pipelines to meet business and technical requirements. Developing set of scripts to help automatize client's workflow and critical areas
- Tools: Python, Apache Spark, GIT, Palantir Foundry, JIRA, Confluence, Excel, Word, Power Point
- Consulting: Supporting clients' VBA and Eikon API (Excel and Python) queries providing tailored solutions and automation tools
- Financial Modelling: Responsible for providing industry leading financial modelling services to Investment Banks, Asset Managers and Corporates globally. Creating comprehensive equity research and IB excel models. Focus areas are: Equity, Fixed Income, commodities, derivatives, funds and FX
- Various: Assisting clients in building, auditing and automating investor presentation materials. Dealing with content issues and checking data accuracy
- Tools: VBA, Excel, Word, Power Point, Python
- Business Process Re-engineering: rethinking and redesigning the way clients' work is done to better support client company's mission and reduce costs
- Strategic planning: Redefining company's strategy and making decisions on allocating its resources to pursue the best strategy
- Business analysis: Identifying clients' business needs and determining solutions to these business problems
- Tools: Excel, Word, Power Point
Projects

This part is under construction
Skills
Languages and Databases










Frameworks and Libraries














Other




Education
Catholic University of the Sacred Heart
Milan, Italy
Degree: M.Sc. in Banking and Finance
- Quantitative methods for finance
- Derivative securities pricing
- Applied econometrics
- Investment risk management
- Market microstructure
Relevant Courseworks:
UCLA Anderson School of Management
Los Angeles, USA
Degree: Summer Program
- Finance
- Money and Banking
Relevant Courseworks:
Milan, Italy
Degree: B.Sc. Economics for Banks, Insurance and Financial Institutions
- Basic calculus
- Financial mathematics
- Statistics I
- Statistics for finance
- Derivative pricing
Relevant Courseworks: