01
Data Analytics & BI
Dashboards and reporting in Power BI and Tableau that turn raw datasets into clear, decision-ready insight.
- KPI dashboards
- Automated reporting
- Self-serve BI
Services
Data-driven services for modern finance teams.
Every engagement is grounded in real banking experience and delivered with modern analytics tools.
02
Operational & Non-Financial Risk
End-to-end non-financial risk programs covering operational losses, conduct, process and people risk — built on real first-line banking experience and aligned to Basel, OSFI E-21 and BoG operational-risk expectations.
- Risk & control self-assessments (RCSA)
- Loss event capture & root-cause analysis
- Key risk indicators (KRIs) & appetite
- Three-lines-of-defence design
03
Third-Party & Vendor Risk
Manage concentration, outsourcing and supply-chain exposure across critical vendors and fintech partners — from onboarding due diligence to continuous monitoring and exit planning.
- Vendor tiering & inherent risk scoring
- Due diligence & SOC 2 / ISO reviews
- Contractual controls & SLAs
- Continuous monitoring & exit strategy
04
Cybersecurity & Tech Risk
Translate cyber and IT risk into board-ready language and measurable controls — mapping threats to NIST CSF, ISO 27001 and OSFI B-13, and quantifying impact in financial terms.
- Cyber risk assessments & control mapping
- Incident response & resilience testing
- Identity, access & data protection reviews
- Cyber loss quantification (FAIR)
05
Regulatory & Compliance Risk
Stay ahead of evolving regulation — AML/KYC, sanctions, conduct, privacy and prudential rules — with controls and reporting that hold up to BoG, OSFI, FINTRAC and Basel scrutiny.
- Reg-change horizon scanning
- AML/KYC & sanctions program reviews
- Conduct & consumer-protection controls
- Examiner-ready evidence packs
06
Stress Testing & Scenario Analysis
Design and run stress tests across credit, operational and non-financial risk — from regulatory ICAAP/DFAST-style scenarios to reverse stress tests and idiosyncratic cyber, vendor-failure and conduct shocks.
- Macro & idiosyncratic scenario design
- Credit, liquidity & operational stress models
- Reverse stress testing & breaking-point analysis
- Capital, P&L and KRI impact reporting
07
Financial Advisory
Strategic advisory drawing on years of operations and credit experience inside a major bank.
- Process review
- Risk frameworks
- Lending strategy
08
Credit Risk Modelling
Credit scoring, segmentation and portfolio quality models built for both regulators and the business.
- PD / LGD models
- Scorecards
- Portfolio analytics
09
Fraud Detection
Predictive models — including logistic regression — to flag suspicious transactions earlier and more accurately.
- Anomaly detection
- Transaction monitoring
- Alert tuning
10
Process Automation
Automate repetitive analyst work with Python and ML so your team focuses on judgment, not data wrangling.
- Python pipelines
- ETL & cleaning
- Workflow automation
11
Customer Engagements
I have worked in retail banking environment.
- Coaching
- Code review
Live BI Preview
Financial performance dashboard
A sample of the BI dashboards I build — KPIs, revenue vs. expense trends, portfolio mix and risk exposure in one glance. Switch the range to see the numbers recompute.
+12.4%
Total Revenue
$6,749K
+4.1%
Operating Expense
$3,967K
+18.2%
Net Income
$2,782K
+2.3 pts
Net Margin
41.2%
Revenue vs. Expense
Monthly, in thousands (USD)
Revenue Expense
Portfolio Mix
Share of AUM (%)
- Mortgages38%
- Commercial24%
- Retail Credit18%
- Investments12%
- Cash & Equiv.8%
Credit Risk Exposure
Distribution by risk bucket (% of portfolio)
Top Movers
Month-over-month
- Commercial Loans+8.4%
- Fee Income+5.1%
- Operating Cost+1.2%
- Loan Loss Prov.-3.6%
- Deposit Growth+6.9%
Sample data shown for illustration. Real engagements use your live data sources (SQL, Excel, APIs) and are delivered in Power BI, Tableau or web.
Have a project in mind?
Let's discuss how data and disciplined risk thinking can move your numbers in the right direction.