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About Finlytics Hub

About Finlytics Hub

I've sat in the CDO chair. Now I help leaders build the data, AI, and risk systems they can trust.
Asad Mumtaz
Founder & Principal Consultant · 20 years across regulated finance and modern ML

Twenty years across regulated finance, national-scale data programmes, and modern ML production. The mix is the point.

Asad Mumtaz, Founder and Principal Consultant, Finlytics Hub
Asad Mumtaz
Brisbane · Riyadh · Remote-first
The gap we fill

Most enterprises find themselves at a crossroads.

Two paths typically present themselves. Neither is enough on its own.

Path one

Domain-focused advisors

Understand your business deeply, but often struggle to translate strategy into scalable, production-ready data and analytics solutions, governance frameworks, and technology implementations.

Path two

Technology-centric consultancies

Can build sophisticated platforms and cutting-edge AI/ML models, but they often lack a deep understanding of your specific regulatory constraints and commercial realities.

We are neither. We are both.
Our origin story

Founded on a simple observation.

The best solutions emerge when deep domain expertise is fused with hands-on technical capability.

Our founding team has not only advised on but has actively built and scaled a national credit bureau from the ground up — processing millions of records weekly, achieving industry-leading Gini scores of 0.85, and implementing robust data privacy and governance frameworks.

We have presented in boardrooms to regulators and debugged dbt models in terminals at 2 AM. This dual perspective is the foundation of our firm and shapes everything we do.

Leadership & expertise

A rare blend of financial domain expert and data leader.

Asad Mumtaz, Founder and Principal Consultant, Finlytics Hub

Asad Mumtaz

Founder & Principal Consultant

Has operated at the intersection of risk, data, and technology for over 15 years — from leading data engineering and analytics for a national credit bureau, to shipping production AI for a digital-asset trading desk, to chairing credit committees at one of the world's largest credit-ratings firms.

  • Chief Data Officer

    Bayan Credit Bureau · 2018 – 2025

    • Led a team of 15+, managing data from 50+ providers and millions of weekly records.
    • Built a 200+-rule data quality framework aligned to BCBS 239 expectations, achieving a 95.6% DQI.
    • Delivered a production ML bureau score with Gini 0.85, governed under an SR 11-7-aligned model risk framework.
    • Designed and shipped the data warehouse, governance, and regulatory reporting infrastructure serving 50+ financial institutions daily.

  • Lead Data Scientist

    Spectral Labs · 2021 – 2026

    • Designed and built an event-sourced analytics stack using dbt, ClickHouse, and Python.
    • Shipped production ML models for credit scoring and complex risk assessment.
    • Pioneered the use of Generative AI agent workflows for trading and research.
    • Integrated on-chain and off-chain data for holistic analysis.

  • Credit Ratings Leadership

    Equifax Australia · 2013 – 2017

    • Served as lead analyst and committee chair for 100+ entities.
    • Developed advanced rating methodologies incorporating rigorous stress testing.
    • Gained deep sector expertise in telco, utilities, property, transport, and construction.
Our methodology

The Finlytics Framework.

A three-phase approach designed to deliver value quickly, safely, and sustainably.

  1. Discovery & roadmap

    Weeks 1 – 2

    We don't start with data or technology. We start with the decision you need to improve. We rapidly map your landscape, identify quick wins, and assess technical readiness.

    Deliverable A 90-day roadmap with a week-by-week execution plan.

  2. Proof of value

    Weeks 3 – 10

    We build the smallest thing that proves the concept and delivers tangible value — a challenger model for a specific segment, a governed pipeline for a critical dataset, or a single decisioning application that gets used immediately.

    Principle We ship working, production-ready code every week, not PowerPoint presentations.

  3. Scale & sustain

    Weeks 11+

    We make it real with the critical, unglamorous work: monitoring, alerting, runbooks, documentation, and knowledge transfer. We then systematically expand the solution and help you build the internal capabilities to own and operate it.

    Outcome Your team owns what we shipped. We exit cleanly.

Explore our four capability pillars

What makes us different

Six commitments. Made explicit.

  • Outcomes over outputs

    We measure success by impact on your key metrics — approval rates, decision TAT, portfolio performance — not by the number of dashboards delivered or models built.

  • Builders, not just advisors

    We write the code, configure the platforms, and debug the pipelines. Strategic recommendations come with implementation included.

  • Risk-native, tech-fluent

    We can explain population stability index drift to your risk committee and event sourcing to your engineering team — in the same conversation.

  • Vendor-neutral senior advice

    Fluent across dbt, Snowflake, Databricks, AWS, Azure, GCP — because we've shipped them in production. But we don't sell them. No commissions, no referral fees.

  • Fast but not reckless

    We deliver in weeks, not quarters — but always with the proper controls, testing, and documentation required for enterprise systems.

  • Knowledge transfer is standard

    We build your capabilities, not dependencies. Every engagement includes enablement, documentation, and upskilling for your team.

Our values

Four principles, on the record.

  • Intellectual honesty

    We will tell you if AI/ML isn't the right solution for your problem — and recommend a simple business rule over a complex model when that's the more effective choice.

  • Pragmatic innovation

    We use cutting-edge technology when it adds measurable value and proven patterns when they're the right tool for the job. We have no technology religion.

  • Transparent delivery

    Weekly demos of working software. Clear, comprehensive reporting. No surprises — honest communication at every stage.

  • Sustainable solutions

    We build solutions that last. Every project includes knowledge transfer, documentation, and internal capability building for long-term success.
Who we help

We partner with data and risk leaders.

In complex, regulated, or data-intensive industries — solving critical challenges. These are the seats we sit closest to.

  • Chief Data & Analytics Officers (CDO / CDAO)

  • Chief Risk Officers & Heads of Credit (CRO)

  • Chief Information & Technology Officers (CIO / CTO)

  • Heads of Data Engineering & Enterprise Architects

Our footprint

Geographic presence.

Global reach

We have successfully delivered projects globally through our remote-first model, with on-site sprints for critical project phases.

Primary hubs

Australia (APAC) · KSA (MENA)
Quarterly in-region trips. Remote-first otherwise.

Why clients trust us

Three things, in order.

  • Domain authority

    We have designed, built, and operated the systems we now consult on — national credit scoring programmes, bureau-grade data platforms, production AI/ML systems at scale.

  • Technical excellence

    We don't just recommend — we implement. We write production code, configure cloud infrastructure, build data pipelines, and deploy machine learning models.

  • Business impact

    Our work drives measurable outcomes — approval rates, decisioning time, portfolio performance, regulatory compliance. Success is measured in your numbers.

Ready to connect?

If our approach resonates, the next step is a conversation.

Let's discuss your specific challenge — and explore how we can help you transform data into a competitive advantage.

Or take a free assessment

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