Data Controller

APC Master AB; Denmark; Remote; DKK 900,000 - 1,350,000; Full time

Job summary

APC Master AB is seeking a data-driven Trading Analytics and Platform Data Lead to own analytics across trading, payments, marketing and risk. You will build dashboards, models, and data governance to support profitability, compliance and client analytics.

Responsibilities include overseeing data stack (Snowflake, MySQL, ClickHouse, dbt, Dagster, Tableau/Hex), KPI tracking, AML/KYC support, and team management with SLAs. Collaboration with Finance, Compliance and Trading teams is essential.

Responsibilities

• Traffic profitability metrics: spread and commission revenue, PnL by book, and all Total PnL metrics, broken down by instrument, region, traffic source and partner.
• Toxic flow detection: latency arbitrage, scalping, exploitation of swaps and price gaps, and coordinated client groups.
• Analytical support for A/B-book routing: evaluate which clients to route to the market and on what criteria, and monitor hedge positions.

Job description

Job description:

Trading Analytics and Flow Quality

• Traffic profitability metrics: spread and commission revenue, PnL by book, and all Total PnLmetrics, broken down by instrument, region, traffic source and partner.
• Toxic flow detection: latency arbitrage, scalping, exploitation of swaps and price gaps, and coordinated client groups.
• Analytical support for A/B-book routing: which clients to route to the market and on what criteria, with measurement of the actual effect of each decision, and monitoring of the hedge position.

Partners and CPA

• A multi-level evaluation model for partners and introducing brokers (IBs).
• Detection of CPA abuse and of abuse in revenue-share payouts.
• Partner tiering and the economic rationale for the terms of each tier.

Payments and Financial Reconciliation

• Payment flow analytics: deposit conversion by payment service provider (PSP), declines, processing costs and withdrawal times.
• Detection of payment abuse: AML patterns in deposits and withdrawals, chargeback risk and mismatches between account holders and payment details.
• Reconciliation of internal records with providers and financial reporting, with automatic detection of discrepancies.
• A single source of truth for revenue, agreed with Finance.

Marketing and Client Analytics

• End-to-end funnel from lead to registration, first-time deposit (FTD), active trader and retention, with accurate attribution by channel.
• Acquisition economics: CAC, LTV and cohort payback by channel and region, and assessment of lead quality at an early stage rather than after three months.
• Analytics of the retention and conversion teams: effectiveness, workload and impact on client retention.
• Segmentation of the client base and data support for campaigns.

Compliance and AML

• Dashboards and alerting in line with regulatory requirements and internal policies.
• Analytical support for KYC and AML: client risk scoring, monitoring of suspicious patterns and preparation of data for reporting.
• Responding to regulator requests using a reproducible calculation methodology.

Platform and Data

• Ownership of the data stack: storage (Snowflake, MySQL, ClickHouse), orchestration, transformations, dbt, Dagster, BI (Tableau, Hex), and integrations with the trading platforms (MT5 and proprietary), CRM, PSPs and advertising accounts.
• A data model covering trading, clients, payments and marketing in a single consistent logic.
• Data quality: tests, data freshness SLAs and monitoring of integration failures.
• Governance: metrics glossary, data owners, access control and GDPR requirements.
• Connection graph methodology for identifying linked accounts and groups.
• The risk admin panel (an internal Data product) as a single risk-processing platform: alerts, transaction monitoring and client restrictions.

Team Management

• Managing and developing the team, including hiring, grades, objectives and the bonus system.
• Quarterly planning and prioritisation, protecting the team from continuous ad hoc requests while maintaining good relationships with the business.
• Organising the team's work as a service with clear SLAs rather than a queue of individual requests.