Is this signal adding value?
Examine incremental fraud coverage, overlap with existing controls, and the trade-off in customer friction.
INDEPENDENT FRAUD STRATEGY & ANALYTICSFINTECH / PAYMENTS
Know which fraud
controls earn
their place.
See what your signals catch, what your controls miss, and where good customers face unnecessary friction.
Discuss a fraud reviewClear evidence.Practical decisions.Accountable delivery.
01 / THE ENGAGEMENT
One question.
A focused review.
The Fraud Performance Review gives your team a defensible next step on a specific risk decision.
Start with one product, one decision stage, and one business question. Build the scope around the evidence available.
Where should we investigate?
Identify meaningful merchant or customer patterns using aligned cohorts and mature outcomes.
Can we trust the numbers?
Reconcile definitions, joins, and denominators before using them to change a fraud decision.
02 / THE APPROACH
From transaction data
to a decision you can test.
A typical review runs over three weeks after scope and usable data access are agreed.
WEEK 01
Establish the facts.
Agree on the question and outcome definitions. Validate the data, reconcile the baseline, and surface limitations early.
WEEK 02
Challenge the signals.
Investigate cohorts and control performance. Separate incremental value from overlap, noise, and incomplete outcomes.
WEEK 03
Make the next move clear.
Present prioritized recommendations and a testing plan, with measures of success and conditions for stopping.
What your team takes away
An executive decision brief. An evidence appendix. Data-quality findings. Prioritized recommendations. A practical testing plan.
Implementation is scoped separately.03 / HOW WE THINK
More detection
is only half
the question.
The right decision accounts for the customers and operational work behind the metric.
Illustrative scenario · synthetic data
Not a client result or performance claim.
AN ADDITIONAL SIGNAL, BEYOND EXISTING COVERAGE
100additional fraud cases flagged
900additional transactions without a fraud label flagged
10%
incremental precision in this synthetic example
That is a reason to investigate, not an automatic case for blocking. Loss severity, label quality, review costs, and conversion effects still need to be assessed.
Example: 100 fraud-labeled transactions ÷ 1,000 incremental flags. Transactions without a fraud label are not necessarily confirmed legitimate.
04 / YOUR CONSULTANT
Jordan Pollard.
Fraud judgment.
Hands-on analytical depth.
My experience spans fraud risk, fintech analytics, and business operations. I work across merchant risk, identity verification, vendor evaluation, and production monitoring.
I turn complex data into practical recommendations that help risk teams strengthen detection, evaluate controls, and understand the impact on customers. You get a clear next step, backed by reasoning your team can examine and put to work.
EDUCATION
View professional background M.S., Business Analytics
B.S., Finance
BEFORE WE START
A clear scope.
No surprises.
Who is the review for?
Fintech and payments teams with a specific fraud decision to make, a decision owner, and access to relevant transaction and outcome data. We establish fit in an introductory conversation before proposing an engagement.
How is the engagement priced?
A fixed fee is agreed after we define the question, data sources, and deliverables. You receive a written scope before committing. Implementation and ongoing support are quoted separately.
What happens if the data is incomplete?
We identify the gaps and agree whether to narrow the question or revise the scope. Findings distinguish what the evidence supports from what remains unknown. Delivery timing depends on usable data access.
Will you change our live controls?
The review delivers recommendations and a testing plan. Any implementation is separately agreed, with your team retaining approval over production decisions.
How do we share information?
Start with a high-level description by email. Before analysis, we agree on access and data handling. The review uses only the information necessary for the agreed question.
LET’S START WITH THE DECISION
What does your team
need to understand?
Tell me the question, the decision deadline, and the type of data available. We’ll establish whether a focused review is a fit.
Please keep the initial message high-level. Do not include customer records or confidential transaction data.