Market Data Manager

Maven is a market-leading proprietary trading firm deploying its own capital across discretionary systematic and market-making strategies. Backed by deep expertise in trading technology and research we are relentlessly focused on improving liquidity across global listed derivatives. Through advanced execution and pricing technologies we improve how financial markets operate.

The Market Data Manager is responsible for the operational technological and AI-driven engine of Mavens Market Data function across all regions and business lines. Reporting to the Head of Market Data the individual will deliver against Mavens Market Data strategy with a particular focus on AI-enabled vendor analytics contract digestion entitlement audit and the build-out of the firms data inventory and reporting infrastructure. This position requires a strong commercial and operational grounding across the breadth of market data (exchange alternative and fundamental) alongside a demonstrable track record of using LLMs automation and lightweight Python to replace manual workflows. The role will partner closely with the Head of Vendor Strategy on commercial strategy vendor negotiations and the build-out of the function while owning the day-to-day operational running of the team. The successful candidate will be hands-on comfortable doing the work themselves rather than delegating it and will demonstrate strong commercial instinct alongside technical fluency.

This position will sit in London working closely with business and technology stakeholders globally. The role will manage Mavens Data Licensing Administrator and partner closely with the procurement team on the contract repository vendor analytics and inventory infrastructure. The operational and AI capability of this role is expected to be leveraged across Mavens Vendor Strategy Finance and Legal functions in addition to Market Data. It is a full-time permanent role and remuneration comprises an annual base salary depending on experience plus a discretionary bonus.

Hybrid working: 4 days a week in the office

Role Responsibilities:

AI Automation & Operational Tooling

• Ownership of the AI and automation roadmap for the Market Data function deciding what to build what to buy and what to outsource;
• Daily use of LLMs and AI tooling for vendor analysis contract digestion usage analytics and entitlement audit with a track record of replacing manual workflows with AI-augmented equivalents;
• Use of internal tooling in Python (usage dashboards automated entitlement reconciliations simple AI integrations) working adjacent to engineering rather than as engineering;
• Automation of monthly reporting exchange audit workflows and other repetitive tasks across the Market Data function;
• Ownership of MD data ingestion into Mavens central data team infrastructure enabling easy access and inventory management firmwide.

Vendor Analytics & Commercial Support

• Day-to-day ownership of vendor analytics: usage ROI redundancy and renewal forecasting across the full Market Data vendor portfolio;
• Support on vendor negotiations renewal strategy and RFP processes with major data and exchange vendors (e.g. Bloomberg LSE/Refinitiv ICE CME);
• Building of forecast and ROI models to optimise spend and inform future Opex planning;
• Identification of opportunities for cost optimisation vendor consolidation and improved service levels;
• Evaluation and operational assessment of alternative data sources (e.g. sentiment satellite web-scraped) to support discretionary and systematic strategies.

Data Inventory & Operational Excellence

• Build-out and ownership of Mavens data catalogue and central inventory raising its profile with business users as the canonical reference for data sets in use across the firm;
• Management of day-to-day Market Data operations across Europe US and Asia jurisdictions including monthly data reporting annual licensing and exchange audits;
• Onboarding of new quant and discretionary data sets across the business including those required to support the onboarding of new Portfolio Managers with entitlements governance and inventory records in place from day one;
• Partnership with the Vendor Strategy function on the cross-firm contract repository ensuring MD records are accurate complete and accessible;
• Implementation of operational controls documentation and process improvements as the function scales.

People Management & Cross-Functional Partnership

• Line management and structured mentorship of Mavens Data Licensing Administrator including ownership of his development plan and growth path;
• Coordination of Market Data-related communication across Trading Desks Technology/Engineering Legal Compliance and Finance;

Governance Risk & Compliance

• Ensuring compliance with all Market Data licensing obligations regulatory requirements and internal governance standards;
• Management of entitlements access and audit exposure across the Market Data vendor estate;
• Deep understanding of Mavens use and interaction with all types of data ensuring appropriate controls and documentation are in place.

Candidate Specifications:

• Between 4 and 8 years experience gained within market data at a proprietary trading firm hedge fund exchange data or technology vendor or similar;
• Demonstrable track record of using AI and LLM tooling to multiply the throughput of a small team including replacing manual workflows with automated or AI-augmented equivalents;
• Working proficiency in Python with experience standing up lightweight internal tooling (usage dashboards automated reconciliations simple AI integrations);
• Breadth across multiple data types (exchange alternative and fundamental) sufficient to operate across a multi-strategy book;
• Commercial literacy in vendor negotiation renewal strategy and RFP discipline;
• Experience with market data inventory and management platforms (e.g. TRG Screen Alveo) or equivalent;
• Experience working across multiple regions time zones or jurisdictions an advantage.

Knowledge:

• Strong knowledge of market data policy and licensing plus at least one of the following key areas:

AI and LLM tooling applied to operational workflows

Lightweight data engineering and automation (Python SQL)

Financial products particularly equities futures and options

Securities exchanges and exchange relationship management

Alternative data sourcing and governance

Vendor analytics cost optimisation and procurement

Skills & Competencies:

• Hands-on operator comfortable doing the work themselves and rolling sleeves up rather than delegating to others;
• Ability to think strategically while executing operationally equally credible at roadmap level and at the workbench;
• Ability to work autonomously and influence without direct authority across senior stakeholder groups;
• Ability to communicate and reason effectively with stakeholders at all levels including Portfolio Managers Traders Technology Legal and Finance;
• Sound judgement decision-making and organisational skills including ability to manage and mentor a junior team member;
• Excellent verbal and numerical reasoning skills;
• Proficiency in Python modern AI tooling (LLMs Copilot-style assistants) and Microsoft Word PowerPoint and Excel.

What We Offer:

• A great environment whereby technology is key to our success
• The upside of a start-up without the associated risks
• Friendly informal and highly rewarding culture
• A fast-growing global firm with plenty of opportunities where you will have a significant impact
• Work in a forward-thinking environment where AI is integral to our strategy and daily operations