Independent analytics consulting · payments · fraud · BI

Solve difficult analytics, payments and fraud problems.

I help organisations turn fragmented commercial, payment and behavioural data into trusted decisions, controlled risk and measurable outcomes. Engagements are senior, hands-on and tightly scoped — most start with one high-value question, not a year-long programme.

15+years across analytics, BI, payments and fraud
15–25people led in multidisciplinary project teams
~€30minvoiced across a multi-engagement consulting portfolio in one year, including subcontracted work
~20% · ~10%marketing uplift and payment-cost reduction delivered

How engagements work

Low-risk to start

Most work begins with a tightly scoped, senior engagement — useful on its own, and a way to check fit before anything larger.

Fixed scope or fractional

Fixed-scope diagnostics and sprints for a specific question; or a recurring fractional day or two a week for ongoing analytics leadership.

Remote · confidential

Remote or hybrid, UK-based. Client work is handled under NDA; public references use synthetic data only.

Four ways to work with me

For payments & risk teams

Fraud & Payments Diagnostic

Problem it solves. Unclear where fraud, bonus abuse, processing cost or customer friction is really hurting the business — and which lever to pull first.

What's included. A structured review of transactions, payment flows, fraud/abuse signals, processing costs and friction points, against the decisions they drive.

What you get. A quantified opportunity-and-risk map, prioritised, with a concrete action plan you can act on with or without me.

Length · 2–4 weeksStarts with · scoping callRelated · Betfair, UFS, Sentinel

For any commercial team with one urgent question

Analytics Investigation Sprint

Problem it solves. One expensive, specific question: where margin is leaking, why conversion dropped, which cohorts abuse bonuses, why KPIs disagree, or where payment rules add needless friction.

What's included. A focused, senior investigation over 5–10 working days: data, analysis and a clear answer — not a staffing exercise.

What you get. An evidence pack, findings and specific recommendations. A low-risk, tightly scoped way to get a useful result — and check fit before larger work.

Length · 5–10 daysStarts with · one questionRelated · MarginGuard, Seismograph

For leaders drowning in dashboards

BI & KPI Reset

Problem it solves. Fragmented reporting, conflicting metric definitions and a sprawling dashboard estate that leadership no longer trusts.

What's included. Diagnosis of the current reporting and definitions, then a common metric framework and an executive reporting model that people agree on.

What you get. One measurement language, a leadership-ready reporting model, and a realistic implementation roadmap.

Length · 3–6 weeksStarts with · scoping callRelated · TUI, CRM KPI system

For teams not yet ready for a full Head of Analytics

Fractional Analytics Lead

Problem it solves. You need senior analytics direction — priorities, quality, delivery — but not yet a full-time leadership hire.

What's included. One to two days a week: setting priorities, steering analysts and suppliers, holding a quality bar, translating for leadership and getting analytics adopted.

What you get. An operating rhythm for decisions, a rising quality bar, and analytics that actually reaches the business.

Length · ongoing · 1–2 days/wkStarts with · scoping callRelated · TUI, Nestlé, UFS

AI-enabled tools are used where they improve speed, coverage or verification, with human review throughout. The product is a solved commercial problem, not an abstract AI programme.

What colleagues and leaders say

Public LinkedIn recommendations from people I worked with in payments and iGaming. These are professional recommendations from former colleagues and managers — not client testimonials.

“He was a joy to work with, providing insightful data with a great narrative. Sergejs is always happy to try new things and work outside of his comfort zone.”
Phil Rivers · Group COO, ClearBankWorked with Sergey in his data/support team at Betfair
“Sergejs and I worked together at Betfair several years ago. Sergejs was always very professional, and it was a pleasure to work with him!”
Rahul Das · iGaming & ePayments professionalManaged Sergey directly at Betfair

Verify these on LinkedIn →

How we start

1

Describe the problem

A few lines on the problem, the decision it affects and a rough timeframe. No polished brief needed.

2

Scope it together

A short call to agree the question, the shape of the engagement and what "done" looks like.

3

Deliver & decide

You get a useful result quickly, then decide whether to go further. Small engagements often lead to larger ones.

Have a specific problem in mind? Send a few lines — the decision it affects and a rough timeframe — and I'll reply with whether and how I can help.

Describe the problem

Considering me for a permanent role instead? See the leadership profile.