Turning operational
complexity into data-driven insight.
I'm Nathan Sinclair — a fintech operations leader working at the intersection of operations and analytics engineering. I lead teams, design dbt models, and build the dashboards and automations behind portfolio performance at scale.
An operator learning to think in queries.
I spent the last decade running collections, recovery, and client-experience teams at PayBright (Affirm), Wealthsimple, and Fig Financial — building the operational systems that keep fintech portfolios healthy.
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 and a better partner to the data and engineering teams I work with.
Today I sit at the intersection of operations and analytics engineering — leading teams, owning portfolio outcomes, and building the data layer underneath them. Whether the next role is operator, analytics engineer, or somewhere in between, the through-line is the same: turn messy reality into systems and numbers people can act on.
name: Nathan Sinclair
location: Toronto, Canada
role: Sr. Manager, Resolutions
@ Fig Financial
focus:
- analytics_engineering
- dbt + snowflake
- operational_data_modeling
learning:
- advanced_dbt (macros, incremental
models, snapshots, testing)
- data_modeling_patterns
- data_observability
committees:
- risk_management
ships: dashboards, models,
vendor programs, 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?
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.