{"id":1388336,"url":"https://alion.io/job/marex-financial-data-analytics-manager","title":"Financial Data Analytics Manager","company":{"id":1821133,"name":"Marex","domain":"marex.com","url":"https://alion.io/company/marex-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":80,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":4,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":131000,"period":"year","method":"role_country_seniority_unknown","sample_n":104},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-11T13:39:20Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-01T01:47:03Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"About Marex\nMarex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world’s major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3,000 employees across Europe, Asia and the Americas.\nFor more information visit https://www.marex.com/\nRole Summary\nDevelop centralised core datasets for Marex’s trading systems, globally across the firm, to the standards of a listed environment for purposes such as:\nEnterprise level dataset integration\nManagement P&L reporting\nBalance Sheet Substantiation\nStatutory Reporting\nBuild an extensive knowledge of Marex’s business operations, covering booking models, source systems and data flows, to work towards the systematic development of the required data sets.\nBuild tools that make use of these datasets, for example:\nReconciling them to the general ledger\nUsing them to automate parts of Finance’s workload\nExposing them to AI tools\nPartner with the enterprise data engineers, and data analytics teams working towards the target state solution for sourcing and reporting data for the firm. Become SME for these datasets and tools, document them and ensure smooth adoption by Finance and robust integration into enterprise datasets to describe the firm in granular and timely terms.\nResponsibilities\nWork with internal teams to develop core datasets for the various trading systems in use at Marex. Refine these datasets to ensure they meet Finance’s requirements for management P&L reporting, balance sheet substantiation, statutory reporting including ensuring they can be effectively interpreted by AI tools.\nBuild reconciliations and similar to ensure these datasets tie to the general ledger andto assist Finance in using them for the abovementioned tasks. Typically, the build will take place using End User Computing (“EUC”) applications such as Alteryx.\n\nPartner with the enterprise data engineers and analytics teams to validate integrated datasets against the general ledger and act as the liaison and representative for Finance into enterprise level dataset creation and maintenance across the wider firm.\nWork with IT department to manage any parts of the build not being implemented through EUCs.\nDesign and execute UAT testing for all tools built and any subsequent changes.\nBecome subject matter expert on these datasets and associated tools. Document the datasets and tools and provide training to the wider Finance team to ensure effective adoption.\nCrosstrain others within the Finance Change team on the tools built to ensure coverage.\nLonger term, work with the IT department to migrate these tools onto IT-owned platforms.\nSkills and Experience:\n\nRequired\nExtensive experience working in Finance in a regulated environment, and knowledge of the risk and compliance requirements associated with this\nExceptional problem solving skills\nControl-focused and detail-oriented mind-set\nDemonstrable interest in data-manipulation techniques\nHighly advanced, up-to-date knowledge of Microsoft Excel\nBeneficial\nQualified accountant\nExperience working in Product Control or a related Finance function. Roles involving balance sheet substantiation and/or control design and implementation are especially valuable\nUnderstanding of a range of Financial products (e.g. equities, futures, FX, options and other derivatives)\nExperience with platforms such as Alteryx, Power Query, Power BI (or even Microsoft Access)\nKnowledge of a programming language (e.g. VBA, Python)\nCompetencies:\nA collaborative team player, approachable, self-efficient and influences a positive work\nEnvironment.\nDemonstrates curiosity.\nResilient in a challenging, fast-paced environment.\nAbility to take a high level of responsibility in a fast pace and high-volume environment.\nExcels at building relationships, networking and influencing others.\nStrategic collaborator with insight and agility, able to anticipate future challenges, ensuring\noperational effectiveness.\nConduct Rules\nYou must:\nAct with integrity\nAct with due skill, care and diligence\nBe open and cooperative with the FCA, the PRA and other regulators\nPay due regard to the interests of customers and treat them fairly\nObserve proper standard of market conduct\nAct to deliver good outcomes for retail customers\nCompany Values\nActing as a role model for the values of the Company:\nBe collaborative - by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients\nAct with integrity - we pride ourselves on our honesty and high ethical standards. We apply these values when working with all our clients, colleagues and other stakeholders\nBe adaptable and entrepreneurial - we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients. We are interested in the world around us and inquisitive about understanding the challenges and opportunities our clients face.\nBe respectful - how we treat each other, and our clients says everything about who we are. We always act respectfully and treat people fairly in everything we do.\nNurture talent - we aim to grow our own talent and make Marex the place ambitious, hardworking and talented people choose to build their career. This means giving and taking stretch opportunities, taking risks, and committing to career development and support - for ourselves and our teams.\nMarex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.\nIf you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.","description_format":"text","description_chars":6678,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-28T11:06:40Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.154,"p_room":0.35,"age_days":18,"expected_fill_days":4,"reasons":["conf:1","velocity","win:tail"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/marex-financial-data-analytics-manager","json_url":"https://alion.io/job/marex-financial-data-analytics-manager.json","meta":{"generated_at":"2026-10-01T04:17:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3580,"day_limit":5000,"remaining_today":1420,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}