Senior Product Manager · Fintech & AI

Edwin Adoo

MBA · 14 Years in Insurance & Financial Services

$1M+ in revenue influenced. $850K+ in savings identified.

15+ C-suite strategies adopted at TD Insurance.

I built the product I couldn't find.

Fourteen years in insurance and financial services advising executives and delivering recommendations that moved the bottom line recognised with the TD Bank Vision in Action Award of Distinction, top 0.1% of ~95,000 employees. Outside of work, I designed and shipped Jupiter Decision Engine: a modular AI analytics platform scanning 12,000+ securities in real time. I had never written a line of code before I started.

Impact at a glance
$1M+
Incremental revenue influenced
National Health Insurance Authority · Ghana
$850K+
Documented cost savings
Saint John Transit Authority
15+
C-suite strategies adopted · 100%
TD Insurance
Top 0.1%
TD Bank Vision in Action Award of Distinction
Of ~95,000 employees · TD
Sr. Business Analyst, TD Insurance · MBA · TD Bank Vision in Action Award of Distinction
Edwin Adoo
14
Yrs Experience
3×
TD All-Star
15+
C-Suite Strategies
01 About

Most people manage complexity.
I resolve it.

I'm a product leader with fourteen years in insurance and financial services the last six at TD Insurance, one of Canada's largest financial institutions. I run discovery with executives and front-line users, turn ambiguity into roadmaps and prioritized backlogs, and deliver through cross-functional teams in a regulated environment. Walk into rooms full of messy data and competing priorities; walk out with a decision people can act on. Not a report. Not a framework. A decision.

That work has been recognised three times with TD's All-Star award. More recently, I received the TD Bank Vision in Action Award of Distinction top 0.1% of ~95,000 employees, awarded for leadership, strategic impact, and operational excellence. It's not given for tenure or titles. It's given for impact that others notice before you do.

Then I got 0→1 ownership on my own terms: I designed and shipped Jupiter Decision Engine a modular AI analytics platform with live market data feeds and a real-time scanner evaluating over 12,000 securities. No team. No engineering background. Just a product mind taking an idea from discovery to production.

What Jupiter proved to me and what I bring to every room I walk into is that the hardest problems don't require the most experience. They require the clearest thinking.

02 Featured Project
Jupiter Decision Engine

I got tired of tools that
showed data but dodged decisions.

So I built what I needed. Jupiter Decision Engine is a modular AI analytics platform I designed and shipped entirely on my own outside work hours, with no prior engineering background. Live market data from multiple APIs. A scanner running across 12,000+ securities in real time. It operates like a system built by a fund. Because it was designed by someone who thinks like one.

Open Live Demo ↗ Fully functional · No login required
🔒roboshele1.github.io/jupiter-demo
Jupiter Decision Engine Dashboard Jupiter Decision Engine Portfolio Manager Jupiter Decision Engine Signals Engine
AI
Decision Engine
12K+
Securities Scanned
Live
Market Data APIs
0
Prior Code Experience
1
Person. No Team.
Why I built it
Most retail investing tools display data. They don't help you decide. I wanted the same rule-based analytical rigor used by professional funds applied to my own portfolio without the emotion and noise.
How it works
Jupiter integrates live market data from multiple APIs, a Kelly Criterion capital allocation engine, and a background scanner that evaluates 12,000+ securities against real-time market conditions then surfaces decisions, not data.
What it took
Defined the problem. Structured the solution. Executed end-to-end no team, no engineering background, no playbook. From identifying the user need to shipping a modular analytics platform in production.
What it proves
The most valuable skill isn't technical fluency. It's hypothesis-driven thinking knowing what needs to be true, what data confirms it, and what's the fastest path to an answer. That skill works everywhere.
Platform Modules
01
Portfolio Intelligence
Real-time analytics, risk analysis, and diagnostics across all holdings.
02
Kelly Criterion Sizing
Mathematical position sizing based on conviction and edge.
03
Signal Generation
Quantitative buy, hold, and sell signals ruled by math, not noise.
04
Discovery Scanning
Market scanning to surface opportunities aligned with the system's rules.
05
Macro Indicators
Macro context layered into signal logic for broader market awareness.
06
Goal Engine
Goal-anchored decision making every signal tied to your $1M target.
07
Risk Centre
Portfolio heat, exposure analysis, and downside scenario modelling.
08
Jupiter AI
AI-powered analysis layer for natural language portfolio interrogation.
03 What I Bring

Three things that
make the difference.

Fourteen years of product-facing analytical work. A 0-to-1 product proof. And the ability to make complexity legible.

01
Product
The Person the C-Suite Calls When It's Complicated
Six years at TD Insurance sitting at the intersection of customer data, risk, strategy, and executive decision-making. Three-time All-Star. Recipient of the TD Bank Vision in Action Award of Distinction top 0.1% of ~95,000 employees, recognised for leadership, strategic impact, and operational excellence. Not for effort. For outcomes that moved the needle.
02
0→1 Proof
Shipped a 0→1 Product. Had Never Coded Before.
Jupiter Decision Engine a modular AI analytics platform, live market APIs, 12,000+ securities scanned in real time shipped entirely outside work hours with zero prior engineering experience. What made it possible wasn't a technical background. It was knowing exactly what problem I was solving before I wrote a single line.
03
Impact
The Numbers Are on Record. $850K. $1M+. Documented.
Recommendations I made contributed to over $850,000 in documented cost savings at Saint John Transit. Earlier in my career, I drove $1M+ in revenue growth at the National Health Insurance Authority in Ghana. These aren't estimates they were tracked, reported, and recognised.
04 Skills

Core competencies.

Analysis & Strategy
Business Analysis
Requirements, process, systems
Data Analysis
Insights, patterns, visualization
Decision Frameworks
Analytical models, strategy
Stakeholder Communication
Leadership reporting, clarity
Process Improvement
Inefficiency identification
Finance & Technology
Quantitative Investing
Kelly criterion, risk models
Portfolio Analytics
Risk, conviction, sizing
System Design
Architecture, logic, UX
AI / LLM Integration
Prompt engineering, AI tools
Product Thinking
0-to-1 building, iteration
05 Experience

Professional history.

December 2020 – Present
TD Insurance · Halifax, NS
Senior Business Analyst · Voice of the Customer
Progressed through four roles: Peer Coach (Dec 2020 – May 2021) → Customer Care Officer (May 2021 – Nov 2021) → Customer Relationship Manager (Nov 2021 – Jan 2025) → Senior Business Analyst (Jan 2025 – Present)
Product ownership for the Voice of the Customer program: I run discovery with executives and front-line users, translate findings into roadmaps and prioritized backlogs, and deliver through cross-functional Agile teams in a regulated environment. 15+ C-suite recommendations adopted at 100%, acceptance criteria and deployment roadmaps across strategic initiatives, 85% first-call resolution, and ~200 new hires trained. Six years in one institution, progressing through four roles, building the kind of institutional trust you can't shortcut.
Roadmap Ownership Discovery & Backlog Prioritization 15+ C-Suite Recommendations 100% Adoption 85% First-Call Resolution ~200 New Hires Trained 3× All-Star Award TD Bank Vision in Action Award of Distinction · Top 0.1% of ~95,000 Employees
June 2018 – September 2018
Saint John Transit Authority · Public Sector
Corporate Strategy and Business Consultant
Brought in to support a corporate restructuring at Saint John Transit Authority, a public-sector organization where every recommendation goes through layers of scrutiny before anyone acts. I ran the financial and operational analysis, translated it into language non-technical leaders could work with, and delivered recommendations that were adopted at 100% contributing to over $850,000 in documented cost savings. Short engagement. Measurable result.
$850K+ Cost Savings 100% Adoption Financial Analysis Organizational Restructuring
September 2011 – September 2017
National Health Insurance Authority · Accra, Ghana
Lead Systems Onboarding Officer & Business Consultant
Six years leading systems onboarding and business consulting inside Ghana's public healthcare insurance system a complex, regulated environment where the stakeholders include government ministries and the margin for error is essentially zero. Drove $1M+ in incremental revenue, grew key segments by 15% through behavioural analysis and cross-functional work with operations, finance, and policy teams, and trained 180+ staff per year. This is where I learned that the skills that matter most clarity, consistency, and knowing who actually makes the decision are the same everywhere you go.
$1M+ Incremental Revenue 15% Segment Growth 180+ Staff Trained / Year Stakeholder Management Healthcare / Public Sector
October 2025 – Present
Independent · Self-Funded
Founder & Lead Architect · Jupiter Decision Engine
I built Jupiter because I couldn't find a tool that actually helped me make better investment decisions only ones that gave me more data to stare at. So I designed and shipped it myself, entirely outside work hours, starting from zero coding knowledge. It now runs a modular analytics platform: live market data from multiple APIs, 12,000+ securities scanned in real time, and a Kelly Criterion capital allocation engine. I treated it like a production system from day one full documentation, version control, governance discipline because that's the only way I know how to build things.
0→1 Build Modular Analytics Platform Kelly Criterion Engine Live Market Data APIs 12,000+ Securities Scanned
06 Education

Academic background.

Sept 2017 – Oct 2018
University of New Brunswick
Master of Business Administration (MBA)
Graduate business education with focus on strategy, analytics, and organizational decision-making. Applied academic frameworks directly to professional practice from financial analysis to stakeholder management inside complex institutions.
Strategy Analytics Finance Organizational Behaviour
07 What Others Say

Don't take my word for it.

From colleagues at TD, MBA peers, and people who've worked directly under me.

"Edwin coached me during my training period at TD Insurance. He has exceptional people skills, is collaborative by nature, and had great product knowledge and technical depth. I recommend him for any leadership position involving complex situation handling."
RP
Rohit Pathak
Application Support Specialist II, Exiger · Former TD Insurance Colleague
"His peculiar ability to interrogate issues and distill the facts influenced me greatly. I know that he puts in great effort to develop emotional intelligence. So, you can count on him to deliver when he gives you his word."
KE
Kingsley Essegbey
M.A. Bioethics · Former Direct Report · Knew Edwin since University
"He was one of the most outstanding individuals I had the privilege to work with. Exceptional clarity, attention to detail, and the ability to read a room and adjust his approach accordingly it made our entire team more effective."
CK
Crystal Kang, MBA
Senior Portfolio Analyst, lululemon · MBA Peer
"Edwin is an excellent mentor and it is a true reflection of his impeccable leadership skills. He sets high standards for himself in terms of quality and work ethic, and always maintains a calm and collected demeanour, even in the most hectic situations."
AA
Akosua Appiah-Kubi
Technology & Supply Chain Strategist · Former Direct Report
08 What's Next

Where this is heading.

Jupiter started as a personal tool. It's becoming something more deliberate and so is the work around it.

01
Jupiter Decision Engine Live
Jupiter runs live against my own portfolio every day. It generates buy, hold, and sell signals using quantitative rules no emotion, no second-guessing. A modular analytics platform in production, real capital on the line. This isn't a side project. It's a system I trust with real decisions.
Live Active
02
Jupiter Decision Engine Multi-User Platform
The infrastructure Jupiter runs on was always designed to serve more than one investor. The next phase is opening it to a small group of disciplined, long-term investors who are tired of platforms that perform and tools that don't decide. If that's you, reach out.
In Development
03
Decision Intelligence Beyond Finance
The same framework that powers Jupiter structured inputs, mathematical weighting, unemotional outputs applied to business and organizational decision problems. Where analytical rigor meets strategic clarity.
Planned