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G MASS
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  • KYC Onboarding Analyst  

    - London
    G MASS are seeking a Junior KYC / Onboarding Analyst to support client... Read More
    G MASS are seeking a Junior KYC / Onboarding Analyst to support client onboarding and ongoing due diligence activities across the Alternative Investments side of the business. This role will provide hands-on exposure to AML/KYC processes for complex fund structures, working closely with Compliance, Operations, and Front Office teams to ensure regulatory obligations are met in a timely and accurate manner.This is an excellent opportunity for an early-career professional looking to build a strong foundation in financial crime compliance within an alternative asset management environment.Key responsibilities:Support the end-to-end client onboarding and KYC process for Alternative Investment clients, including hedge funds, private equity, real estate, and other non-traditional investment vehicles Assist with the collection, review, and verification of KYC documentation (corporate, beneficial ownership, UBOs, control structures, investor documentation) Perform initial CDD/EDD checks, including sanctions screening, PEP identification, and adverse media reviews Maintain accurate and complete client records within internal KYC and onboarding systems Liaise with internal stakeholders (Compliance, Legal, Operations, Front Office) to resolve documentation gaps or onboarding queriesRequirements0–2 years’ experience in KYC, AML, client onboarding, or compliance operations (financial services or fund environment preferred) Basic understanding of AML/KYC regulations and financial crime controls Exposure to or interest in Alternative Investments (e.g. hedge funds, private equity, real assets) Strong attention to detail with the ability to manage multiple onboarding cases simultaneously Good written and verbal communication skillsBenefitsSalary: up to £35kLength: Initial 12 months, with view to extension Read Less
  • Prime Brokerage Onboarding Consultant  

    - London
    We are working with a leading global financial services firm to hire a... Read More
    We are working with a leading global financial services firm to hire an experienced Prime Brokerage Onboarding professional to support a fast-growing business unit in London.This is a hands-on, client-facing contract role, responsible for coordinating the end-to-end onboarding of new Prime clients while providing additional client service support once accounts are live.Key ResponsibilitiesOwn and coordinate the full front-to-back Prime onboarding process for new clients Act as the single point of contact for clients throughout onboarding Work closely with internal teams across Risk, Legal, Compliance, CDD/KYC, Operations, Trading and Technology Identify and manage onboarding risks across credit, market, operational and regulatory areas Support day-to-day Prime client service activities, including margin, cash balances, reporting and lifecycle events Build strong internal and external relationships to ensure timely, high-quality client deliveryRequirements5+ years’ experience within Prime Brokerage, with direct client exposure Strong understanding of Prime products and operations, including front-to-back trade flows Experience onboarding hedge funds, asset managers or similar institutional clients Proven ability to manage multiple workstreams and prioritise effectively in a fast-paced environment Strong risk awareness and attention to detailCommercially aware with the ability to communicate clearly with clients Comfortable operating in a matrix environment and coordinating multiple stakeholdersBenefitsFixed-term contract, 3-month rolling Paying between £75,000 - £85,000. Read Less
  • Solvency II Consultant  

    - London
    We are supporting a company-market / general (re)insurer in appointing... Read More
    We are supporting a company-market / general (re)insurer in appointing a part-time Solvency II reporting consultant to provide hands-on support during quarterly reporting cycles.This role is focused on the accurate and timely preparation of Solvency II quantitative returns, providing experienced capacity at quarter-end without increasing permanent headcount.Key responsibilitiesPrepare and complete quarterly Solvency II QRTs for a non-life insurer, including balance sheet, own funds, technical provisions, premiums and claims by line of business and SCR/MCR Reconcile Solvency II outputs to local GAAP / IFRS ledgers and management reporting Perform data quality and reasonableness checks, including analysis of movements versus prior quarters and year-end Investigate and resolve data issues in collaboration with finance and actuarial stakeholders Document assumptions, manual adjustments and judgements, ensuring a clear audit trail Provide brief post-cycle feedback on recurring issues and opportunities to streamline future reporting cyclesRequirementsProven, hands-on Solvency II reporting experience for a general insurance or company-market (re)insurer Strong understanding of non-life insurance financials, including technical provisions, premiums, claims and reinsurance Advanced Excel skills and familiarity with Solvency II reporting or consolidation tools Comfortable working independently in short, concentrated reporting windows (typically 3–4 days per quarter) Clear communicator, able to challenge data and deliver audit-ready outputs to regulatory deadlines BenefitsPart-time role - 3 / 4 days a quarter. Salary to be discussed. Read Less
  • Delegated Authority SME - Senior Business Analyst  

    - London
    We’re supporting a specialist consultancy working with London Market c... Read More
    We’re supporting a specialist consultancy working with London Market carriers and managing agents to redesign how Delegated Authority due diligence and coverholder onboarding is done - properly, from the ground up.This is a senior, hands-on SME role, sitting deliberately ahead of delivery. The focus is on up-front discovery, operating model design and target-state definition for DA due diligence and onboarding, before anything is handed to build or configuration teams.The consultant will act as a trusted delegated authority thought partner to carriers, managing agents, and coverholders - shaping what the process should look like, not simply documenting technical requirements.Key ResponsibilitiesAct as the delegated authority SME in early-stage client engagements, partnering with carriers, managing agents and coverholders to define target-state DA due diligence, onboarding and governance models Lead discovery and design workshops, challenging client assumptions where required and translating regulatory, operational and commercial intent into coherent future-state operating models Own the definition of target-state DA workflows, including coverholder onboarding, binder approval, periodic reviews, sanctions and KYC checks, attestations, escalations and auditability Move clients beyond “technical asks” by co-designing how DA processes should operate in practice - ownership models, decision points, evidencing standards, SLAs and exception handling Produce clear, implementation-ready design artefacts that articulate what needs to be built and why, enabling downstream teams to configure without re-interpretation Translate agreed target-state models into structured configuration inputs, including workflow logic, roles and permissions, routing rules, data capture requirements and approval hierarchies Design end-to-end DA workflows aligned across governance, compliance, underwriting operations and onboarding/vendor teams, with clear accountability and hand-offs Manage requirement evolution during discovery, clearly articulating scope boundaries, design decisions and trade-offs before build commences Define DA data models and mandatory information sets aligned to Lloyd’s, internal governance and audit expectations Support testing and UAT by validating that configured solutions reflect the original target-state intent Capture and standardise reusable DA operating models and workflow patterns to accelerate future rolloutsRequirementsDeep London Market Delegated Authority expertise, with hands-on understanding of coverholder onboarding, due diligence, TPA oversight, binder governance and ongoing approval processes Proven experience acting as a trusted SME, shaping DA operating models rather than simply documenting requirements Track record of moving clients from fragmented or demand-driven DA processes to clear, scalable target-state designs Hands-on experience working with DA due diligence, onboarding, or case/workflow platforms, translating business design into configuration-ready artefacts Strong stakeholder management skills, comfortable constructively challenging senior DA, compliance and underwriting stakeholders Ability to balance regulatory rigour with operational pragmatism, clearly articulating design trade-offs Excellent documentation skills, producing target-state process maps, decision frameworks, design packs and configuration blueprints suitable for audit and regulatory scrutiny BenefitsSalary to be discussed. 6-month initial contract.Initially starting as a part-time position (10 - 15 days p/m) with the workload growing over time. Read Less
  • Senior Machine Learning Engineer  

    - London
    G MASS Consulting are supporting a leading Audit and Advisory business... Read More
    G MASS Consulting are supporting a leading Audit and Advisory business. We’re looking for a Machine Learning Engineer to shape and scale their pricing technology. In this role, you’ll design and own ML platforms that streamline pricing workflows, support rapid model deployment, and ensure models perform reliably at scale. Partnering with Data Science, Actuarial, and Product teams.Responsibilities:Build and support ML lifecycle tooling for model deployment, monitoring, and alerting Maintain and improve the Kubeflow environment for Data Scientists and Actuaries Create pricing analytics tools to accelerate impact analysis and reduce manual work Collaborate with pricing and product teams to deliver high-impact tooling Communicate complex concepts clearly to technical and non-technical audiencesRequirementsBachelor’s or Master’s degree in Statistics, Data Science, Computer Science, or a related field Strong experience managing the full ML model lifecycle (batch and online) Solid understanding of statistical methods, including GLMs and modern ML techniques Proven ability to build and deploy production-quality Python applications (pandas, scikit-learn) Experience with DevOps and ML tooling, including Kubernetes, Docker, CI/CD, and git-based workflows Familiarity with cloud platforms (AWS) and cloud data warehouses (Snowflake/SQL)BenefitsSalary: to be discussed, depending on experienceLength: 12 months, with the view to extend Read Less

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Astrid-Lindgren-Weg 12 38229 Salzgitter Germany