FROM
→A formula or interface
TOA regulated, adversarial financial workflow
Build systems where money moves
and trust is engineered.
Students connect software, markets, mathematics and controls to build financial systems that are measurable, resilient and auditable in the real world.
FQ
OUR POINT OF VIEW
FinTech education must connect mathematical models to the systems, incentives, and controls of real financial activity.
THE FIELD IS MOVING
What students must learn to see differently.
The durable skill is not familiarity with today’s tool. It is the ability to reason about the system, its constraints, and the evidence behind a decision.
FROM
→Does the model look profitable?
TODoes the evidence survive costs, risk, and reality?
FROM
→A backtest result
TOReproducible data, controls, execution, and auditability
INDUSTRY-VETTED COURSE PORTFOLIO
A pathway from foundations to consequential work.
Representative courses can be configured as electives, honors pathways, minors, faculty-development modules, or an integrated specialization.
FQ-3014 credits · data systems lab
Financial Data Engineering
Build trustworthy financial datasets with provenance, timing, reconciliation and auditability.
01FQ-3154 credits · payments studio
Engineering Digital Payments
Design payment workflows for correctness, resilience, fraud controls and reconciliation.
02FQ-4024 credits · research studio
Quant Research Without Fooling Yourself
Test strategies with leakage controls, realistic costs, baselines and honest failure statements.
03FQ-4104 credits · market simulation lab
Electronic Markets and Trading Systems
Reason about orders, liquidity, execution, market impact and the systems connecting them.
04FQ-4254 credits · decision systems lab
Fraud, Risk and Financial Intelligence
Engineer models and controls for fraud, credit risk and operational decision making.
05FQ-4904 credits · reviewed capstone
FinTech Systems Studio
Deliver an auditable financial application or research system through formal reviews.
06HOW WE TEACH THE DOMAIN
Practice that creates professional judgment.
Each learning experience is structured around how credible work is actually reviewed: assumptions are explicit, evidence is inspectable, and important tradeoffs must be defended.
Institutional-quality data work
Students account for provenance, timing, corporate actions, missingness, and the subtle ways datasets mislead.
Controls with every workflow
Reconciliation, idempotency, authorization, audit trails, and exception handling are part of the design.
Research without self-deception
Backtests include costs, leakage checks, baselines, out-of-sample validation, and clear failure statements.
Finance in context
Market structure, regulation, incentives, consumer outcomes, and systemic risk sit alongside code and mathematics.
APPLIED WORK
The kind of problems students can learn to own.
These briefs illustrate the project scope and engineering judgment we bring into programs, labs, and industry-supported capstones.
BRIEF / 01
Resilient payment router
Idempotent orchestration, failure recovery, fraud signals, and reconciliation.
BRIEF / 02
Evidence-first strategy research
Reproducible factor study with costs, bias controls, and risk analysis.
BRIEF / 03
Transaction anomaly platform
Streaming features, explainable alerts, investigator workflow, and feedback.
CENTER OF EXCELLENCE BLUEPRINT
A FinTech & Quantitative Systems Center of Excellence
A campus environment for financial computing, payments engineering, quantitative research, and trustworthy financial innovation.
01
FOUNDATIONSFinance, probability, statistics, economics, software, data
02
PLATFORMMarket data, research notebooks, backtesting, payment simulators
03
BUILDPayments, risk, fraud, trading, financial applications
04
PROVEAudit trails, research reports, controls, demos, model reviews
CAPABILITYEVIDENCE
WHAT ACADEMIC LEADERS CAN INSPECT
Proof beyond completion.
Every program is designed to leave behind concrete evidence of what students can do and how well they can reason.
Reproducible research packagesBias- and cost-aware backtestsControl and reconciliation designsAuditable financial system demonstrations
WAYS TO BEGIN
Bring this domain into your institution at the right depth.
FQ / START A CONVERSATION
What could FinTech & Quant look like at your institution?
We’ll help you choose the right academic format, faculty enablement model, infrastructure, and first set of student outcomes.