Turning operational
complexity into data-driven insight.
I'm Nathan Sinclair — a fintech leader with 0-to-1 experience building teams, functions, and programs across operations, risk, collections, and data. I design controls and KRIs, ship dbt models and dashboards, and automate the workflows behind portfolio performance at scale.

Fintech operator, risk leader, and data builder.
I’m a fintech leader with strong 0-to-1 experience building teams, functions, processes, and strategies from the ground up. My background spans operations, risk, collections, customer experience, and data analytics — with a focus on turning ideas into practical, high-performing programs.
Along the way I got tired of waiting on dashboards to answer questions my team needed today. So I picked up the stack — SQL, dbt, Snowflake, and modern BI — and started shipping the models, metrics, and pipelines myself. It made me a sharper operator, a stronger risk partner, and a better collaborator with data and engineering teams.
Today I sit across enterprise risk, operations, and analytics engineering — leading teams, designing controls and KRIs, and building the data layer that helps the business make faster, safer decisions. Whether the next role is in risk, ops, or analytics, the through-line is the same: turn messy reality into systems and numbers people can act on.
name: Nathan Sinclair
location: Toronto, Canada
role: Associate Director, Enterprise Risk
@ Fig Financial
focus:
- enterprise_risk_management
- operational_risk + controls
- analytics_engineering
- dbt + snowflake
learning:
- advanced_dbt (macros, incremental
models, snapshots, testing)
- data_modeling_patterns
- data_observability
committees:
- risk_management
ships: frameworks, risk registers,
dashboards, models, teamsThe toolkit behind the work.
Where ten years of operational pattern recognition meets a modern data stack.
Data & Analytics
BI & Visualization
AI & Automation
Analytics Engineering
Operations & Strategy
Leadership & Collaboration
A decade of measurable outcomes.
Each role solving the same problem at a different scale: how do you turn messy operational data into decisions the business can trust?
Associate Director — Enterprise Risk
@ Fig Financial- Building Fig’s Enterprise Risk Management function from the ground up as an early member of the team, establishing frameworks, governance, tools, and processes that support enterprise and operational risk across the organization.
- Leading the development of risk assessments, the enterprise risk register, KRIs, risk appetite, control frameworks, action planning, and executive reporting.
- Partnering across the business to embed risk management into day-to-day decision-making while leveraging SQL, dbt, Snowflake, and BI tools to make risk data actionable.
Senior Manager — Resolutions & Recovery
@ Fig Financial- Designed dbt models tracking hardship treatments, repayment outcomes, and vendor performance; partnered with Analytics Engineering to productionize dashboards.
- Scaled managed accounts per FTE 5× through new segmentation models, workflow automation, and refined KPI monitoring.
- Launched segmented customer treatment strategies that reduced roll rates by 10% with measurable improvements in net write-off (NWO).
- Member of the Risk Management Committee; partner with the CRO and Head of Legal on collections policy and governance.
- Piloted GenAI tooling and workflow automation (Workato, Zapier, n8n, Make) to remove manual effort from reporting, QA, and vendor reconciliation.
Team Lead — Client Experience Risk
@ Wealthsimple- Built SQL- and Periscope-based dashboards to identify bottlenecks and optimize agent performance across Client Support Risk.
- Analyzed support and fraud data to cut Velocity Monitor ticket volume by 60%, reducing false positives and agent toil.
- Co-led Wealthsimple's first Account Opening BPO initiative, freeing internal bandwidth for high-touch work.
- Partnered with Fraud, Compliance, and CX leadership to refine routing logic — improving resolution speed.
Team Lead — Resolutions
@ PayBright / Affirm- Owned end-to-end resolutions and recovery workflows; used SQL, Zendesk Explore, and Looker to track performance and drive continuous improvement.
- Led CRM migration from Zendesk to Salesforce — improved data integrity, reporting accuracy, and cross-functional visibility.
- Built PayBright's first BPO program with CBCC, ARO, and Indebted; scaled volume by 80% through training, SOPs, and QA frameworks.
Corporate Trainer
@ Teleperformance- Designed and delivered new-hire and continuous-education training for call-centre agents supporting Sprint Mobile, a major US telecommunications provider.
- Built training content, knowledge checks, and QA rubrics that lifted agent ramp speed and first-call resolution.
- Partnered with operations and quality leadership to translate performance data into targeted coaching plans.
Things I've shipped.
A mix of production work, side experiments, and learning projects. More on GitHub.
fct_collections_performance
dbt model unifying hardship treatments, repayment outcomes, and vendor SLAs into a single fact table powering portfolio dashboards.
Roll-Rate Segmentation Engine
Segmentation logic + dashboards quantifying treatment impact across delinquency buckets — drove a 10% reduction in roll rates.
Vendor Reconciliation Automation
Workato/n8n pipeline replacing weekly manual reconciliation across 5 BPO partners. Outputs land in Snowflake for downstream reporting.
Velocity Monitor BI Suite
Periscope dashboards diagnosing false-positive volume in fraud-flagged tickets — informed routing changes that cut volume 60%.
GenAI QA Co-Pilot
Prompt-driven QA assistant that scores agent transcripts against compliance rubrics — piloted across two BPO programs.
canadian-immigration-economic-analysis
Exploratory data analysis tying Canadian immigration flows to economic indicators — cleaning, modeling, and visualizing trends from public Statistics Canada datasets.
bigquery-customer-support-analytics
BigQuery analytics project transforming raw customer support events into modeled marts and dashboards quantifying agent throughput, SLA health, and resolution patterns.
snowflake-dbt-home-credit
End-to-end dbt project on Snowflake modeling Home Credit default-risk data — staging, marts, tests, and documentation for a production-grade analytics workflow.
Sigma BI Dashboard
Interactive Sigma Computing workbook exploring operational and financial metrics — published view showcasing modeled data, slicers, and visual storytelling end-to-end.
Let's build something measurable.
I'm actively talking to teams hiring for analytics engineering, BI, or operations-analytics roles. Always up for a coffee or a Slack DM.