Nicito Sta. Ana
Valuations Specialist, Quantitative Finance
Talent
AntipoloMember since October 31, 2026
Artificial Intelligence & Financial ForecastingMachine LearningNeural NetworksPytorchMarket trend analysisPortfolio OptimizationCapital Market LineTangency PortfolioEfficient FrontierFeature engineeringSkip Connectionsdata pre-processingLayer NormalizationKaiming initializationQuantitative Finance & Risk Managementnumerical analysisasset managementportfolio distributionSharpe ratioSortino ratioCovariance and Correlation matrixRisk assessmentrisk reportingProfit and Loss analysis/forecastingQuantitative investingModern Portfolio TheoryInternal and External Fraud Prevention, Detection, Investigationdiscounted cash flow projectionsbalance sheet analysisData Science & Model Creation
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Artificial Intelligence & Financial ForecastingMachine LearningNeural NetworksPytorchMarket trend analysis
About
- Conducted Market trend analysis, evaluating market movements aligning with economic indicators such as inflation and central bank rates
- Experience in Portfolio Optimization.
Forecasting Capital Market
Line, Tangency Portfolio, Efficient Frontier in multiple simulations of economic factors
- Managed portfolio risk metrics by estimating volatility, leverage, drawdown, Value at Risk (VaR), Expected Shortfall, asset concentration and liquidity risks
Experience
Valuations Specialist, Associate at Deutsche Knowledge Services (Deutsche Bank) (2026-01 – 2026-07)
- Designed AI Architecture for Trader Behavior Analysis using Pytorch
- Developed python code to extract and preprocess data for Machine Learning tasks
- Ensured financial assets are traded within market deviations
- Maintained audit-ready processes of valuing assets in line with regulatory risk controls
- Created Tableau dashboards for high-level management view of KPI’s
- Predictive Modeling for portfolio management
- Automated valuation reports from different data sources such as Bloomberg data
Senior Risk Analyst at Interactech Solutions (2023-11 – 2025-10)
- Used Deep Learning to classify fraudulent and profitable clients
- Optimized monthly reports by utilizing Machine Learning such as QDA (Quadratic Discriminant Analysis) and Neural Networks
- Manages a database of known fraudsters and links between other fraudulent groups
- Used the database to create parameters for machine learning, fraud prevention and data analysis
- Extract, Transform, Load process for Business Intelligence reports
- Utilize the activities, behavior, identities of clients and check if it belongs to a fraudulent group
- Submit management-requested analysis to improve business insights and decision-making
- Measure KPI for optimizing customer adoption, retention, and overall company health
Senior Risk Analyst at Everlounge (2019-09 – 2023-10)
- Created VBA, utilized by other risk analysts, for easier visibility, data analysis and correct insights to prevent fraudulent clients
- Created indicators for detecting high-value assets, revenue generation and improved cashflow
- Created parameters to detect fraudulent clients
- Prevent Internal Fraud, which was diverting profitable clients into our competitors
- Daily and Monthly reports regarding client and financial risks
- Data extraction from tableau and third-party sites
- Detection and banning of multiple accounts
- Preprocess databases for data analysis
Education
Bachelor of Science in Mathematics – Technological Institute of the Philippines, Quezon City (2015 – 2019)
High School – Marikina Christian Integrated School, Marikina City (2011 – 2015)
Elementary – Pathfinder School, Marikina City (2005 – 2011)
Skills
Valuations SpecialistQuantitative Finance



