Open Position

Head of Trading Intelligence & Analytics

Build Finotive’s Entire Trading Intelligence Division

Finotive is creating a dedicated Trading Intelligence Division — a high-level quantitative and analytical unit responsible for understanding trader behaviour, modelling evaluation flow, analysing multi-platform trade activity, and generating the intelligence that drives decisions across our ecosystem.

This role sits at the centre of that mission. You will design the analytical architecture behind our prop trading environment across MT5, Match-Trader, and TradeLocker. You will build and lead the team that executes it. You will define the standards, systems, and modelling frameworks. And the intelligence you create will guide product development, platform configuration, evaluation logic, operational decisions, and strategic initiatives across Finotive.

This is a senior technical leadership role — complex, multidisciplinary, and critical to the evolution of our trading ecosystem.

About Finotive

Finotive is building a complete in-house ecosystem that spans fintech infrastructure, prop trading technology, and brokerage systems.

Every execution layer, evaluation model, dashboard, data pipeline, and analytical tool is internal — allowing us to innovate rapidly and maintain full control over the end-to-end trading experience. Recent advancements include:

  • Multi-platform trading across MT5, Match-Trader, and TradeLocker
  • Refined evaluation rules and scaling frameworks
  • Advanced dashboards for trader insights and platform utilisation
  • Real-time internal monitoring of evaluation progression
  • Expansion of our global infrastructure and trading environment

Your division will become the intelligence engine powering these systems. Your Mission — Build the Intelligence Function From Zero This is a foundational leadership role, not an addition to an existing team.

You will architect:

  • Multi-platform data ingestion pipelines
  • Unified cross-platform trade-normalisation models
  • Behavioural clustering and segmentation frameworks
  • Evaluation lifecycle and progression modelling
  • Instrument-level microstructure analytics
  • Real-time monitoring and alerting systems
  • Dashboards for product, risk, operations, and leadership

And you will hire and lead:

  • Quantitative analysts
  • Data scientists
  • Behavioural modelling specialists
  • Dashboard and insights engineers

This division will become Finotive’s internal hub for trading intelligence — supporting every major team in the company.

  • Cross-Functional Collaboration (High-Level Overview) You will work closely with the teams that rely on your intelligence to shape decisions:
  • Risk & Platform Operations Evaluation logic, platform configuration, exposure frameworks, and operational decision-making.
  • Backend Development / Data Engineering Multi-platform data ingestion, normalisation, and scalable pipelines.
  • UI/UX & Dashboard Engineering Transforming models into intuitive dashboards and internal tools.
  • Product Management Supporting evaluation rules, scaling models, consistency metrics, and product features.
  • Compliance & Fraud Prevention Providing behavioural insight for anomaly detection and identity verification.
  • Senior Leadership Delivering behavioural intelligence, performance modelling, and strategic recommendations.

Your First Months at Finotive

Month 1: Full Ecosystem Audit & Rapid Intelligence Delivery You will conduct a comprehensive audit of trading activity across MT5, Match-Trader, and TradeLocker — analysing behaviour patterns, instrument utilisation, evaluation flow, cluster anomalies, and platform interaction characteristics. You will deliver rapid early insights: key observations, structural findings, and priority recommendations based on your initial assessment.

Months 2–3: Targeted Improvements & Early Frameworks

You will begin implementing targeted improvements, building early analytical pipelines, refining segmentation models, and producing actionable reports that support product, platform, and operational decisions — while shaping the long-term intelligence architecture.

Months 4–6: Foundational System Design

You will construct the core foundations:

  • Cross-platform normalisation
  • Behavioural clustering
  • Evaluation lifecycle modelling
  • Instrument microstructure frameworks
  • Real-time monitoring layers
  • Dashboards for Risk, Product, and Leadership

Month 6+: Team Construction & Scaling

You will hire and lead a specialised analytical team — expanding the division into a high-performance capability supporting product, risk, engineering, compliance, and senior leadership.

Our Analytical Philosophy

We apply engineering-level discipline to analytics:

  • Clean, maintainable modelling
  • Structured, validated datasets
  • Reproducible metrics
  • Version-controlled pipelines
  • Real-time + batch hybrid architecture
  • Intelligence aligned with engineering best practices

You will define — and enforce — these standards for the division.

Technical Environment

You will work with:

  • Python — Pandas, NumPy, SciPy, scikit-learn
  • SQL — MySQL, Postgres
  • Dashboards — Power BI, Tableau, internal systems
  • Tools — JupyterLab, VSCode, GitHub, Slack, Tuple, TablePlus
  • Platforms — MT5, Match-Trader, TradeLocker

Who You Are

A senior quantitative leader who:

  • Understands MT5, Match-Trader, and TradeLocker data structures
  • Understands prop trading evaluation models and synthetic capital systems
  • Can architect analytical systems at scale
  • Models behavioural clusters, microstructure patterns, and evaluation flow
  • Has mastery of Python + SQL
  • Communicates clearly across risk, product, engineering, and leadership
  • Can build and lead a high-performance intelligence team
  • Operates effectively at both system-level and detail-level depth

If you think in models, understand trader behaviour, and convert raw data into structured intelligence — this is your role.

MUST HAVES

  • Expert in Prop firm analytics
  • Brokerage or quant-prop experience
  • ML-based anomaly detection
  • Advanced mathematics/statistics

What We Offer

  • Senior-level compensation
  • Visa, accommodation, and sponsorship available if required (accommodation only for relocation)
  • Remote-first role initially, during the intelligence division build-out
  • Onsite requirement from mid-Q1 2026, joining us at the new Finotive Fintech Hub in Dubai
  • Full ownership of the Trading Intelligence Division and its long-term analytical direction
  • Direct influence on Finotive’s system architecture, evaluation frameworks, and strategic decision-making
  • A central role inside one of the fastest-growing fintech ecosystems, shaping the intelligence layer that powers every major area of the business
Employment Type
Full Time
Location
Dubai, UAE
Technologies
MT5
Match-Trader
TradeLocker
Power BI / Tableau
Python
SQL (MySQL, Postgres)

Shape the future with us

Help create cutting-edge solutions that will shape industry standards, and redefine the future of trading

Head of Trading Intelligence & Analytics

Full-Time, (Dubai, UAE)

View position
Front-End React.js / Livewire Developer

Full-Time, (Dubai, UAE)

View position
Senior UI/UX Designer

Full-Time, (Dubai, UAE)

View position
Social Media Content Creator

Full-Time, Remote

View position
Graphic Designer

Full-Time, Remote

View position
Apply for this position
Please fill out the form below to apply for this position.
Name *
Email *
Describe how you would conduct a day-one audit of our full trading environment. Outline your methodology for analysing trade flow, behaviour patterns, instrument utilisation, evaluation progression, rule interaction, execution characteristics, and anomalies across MT5, Match-Trader, and TradeLocker. * Trading outcomes can shift due to behaviour changes, rule interaction, execution conditions, or structural factors within the evaluation ecosystem. How would you analyse the system to identify which factors have changed and to what extent they are influencing outcomes? * How would you determine whether a trading environment is being influenced by abnormal, coordinated, or structurally atypical behaviour? * Evaluate the effectiveness of a Finotive Fundings prop firm’s rule framework (drawdown, maximum loss, notional volume, consistency requirements, etc.) in maintaining a balanced and robust evaluation model. * How would you analyse evaluation-phase progression and determine whether pass rates, behavioural patterns, or stage-to-stage transitions are structurally aligned with a healthy trading ecosystem? * Attach your CV *
Attach cover letter *