Data Controller
APC Master ABSammanfattning
The role involves trading analytics and flow quality, focusing on profitability metrics, toxic flow detection, and analytical support for routing decisions. Responsibilities extend to partner evaluation, payment flow analytics, compliance with regulatory requirements, and ownership of the data stack. The position requires managing a team and ensuring effective prioritization of tasks. This role is crucial for optimizing trading operations and enhancing client retention through data-driven and AIJobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Det här erbjuder vi
Opportunity to work with advanced data analytics tools and technologies.Collaborative work environment with a focus on team development.Engagement in strategic decision-making processes.Potential for career growth within the organization.
Ansök senast: 2026-12-05
Publicerad: 2026-11-05
Beskrivning
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.
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.
Ansök till tjänsten
Data Controller
OM FÖRETAGET
APC Master AB
