Data Operations Lead Data will talk to you if youre willing to listen. In the world of asset management, data has never been more important - the differentiating factor between winning and losing. The big industry players with quite standardised portfolios have expansive systems in place for this. However, the likes of the family office or boutique investment houses with often less vanilla portfolios have, up to now, not really being catered to effectively. Within this gap in the market, a new funds FinTech player has developed a data platform that can bring disparate data streams together to aid performance monitoring, reporting and of course, to inform the investment decision. Your role will be tomanage the intersection between clients and their most optimal data sources. In short, youll be setting up and streamlining how they integrate with banks, pricing providers and other complex portfolio management systems. On top of that, youll be assessing how best to establish an efficient link to the less standard data sets such as private equity valuations or derivatives. Core Competencies At a hands-on level,your bread & butter will be data feeds. That means liaising with technical specialists, assessing if FTP or STFP connections are set up correctly and generally figuring out how the flow of investment data into the platform will work best. To succeed at this will be more about your knowledge of funds, investment products and corporate actions and the investment sphere generally. This means leading the daily operations for data feeds andwhen something breaks down - figuring out how to fix it. Ensuring accuracy, speed and efficiency are core to operations - as they must be. In looking at the bigger picture, your role can be further broken down into 2 main areas - Product and Data Strategy. On the product side, youll betaking the lead on how the platform is set-up and working with clients to design a structure that delivers the type of insights and analytics they need. Youll be assessing both the data inputs that are needed and also how that translates to outputs in the form of reporting deliverables, how it syncs with accounting systems, etc. Further down the road, your focus will includespotting opportunities where the platform can drive automation.Harnessing the power of AI also being very much on the agenda in the firms vision of what the platform can offer. Regarding data strategy, youll be helpingdesign the data model of how the platform integrates with other systems. This will mean mapping out the data processes but more importantly being the go-between to manage relationships between the technical team, the client and data vendors/sources your project management skills & effective handling of all stakeholders both being integral to success for this. Further to this youll also have an eye on the overall data strategy to include improving how data is harnessed, how data quality can be levelled up and just as importantly as all this, how things like data governance and data storage should best work in practice. In terms of skillset, your core competencies here will be service delivery, project management and communication. The platform being a digital transformation tool for these firms means your ability to engage at a senior level to drive buy-in with be key. Your Key Responsibilities oversee the data-feed connections with banks/vendors, co-ordinating their set up, mapping their data model to the platform. ensure high quality, timely data is being effectively delivered every day and building the processes and systems to support this. help design the data model required to support investment reporting and financial/tax reporting for complex assets (PE, derivatives, etc). This being a data platform youll be ensuring it integrates well with complex portfolio management and ERP systems. Benefits Bonus | Pension | Significant Equity Stake The Culture & Where you fit in The culture here is super collaborative with everyone pulling in the same direction to create a market-leading product to continue building market share. Thework model can be as hybrid or as office based as you want it to be and youll be trusted to manage your own schedule to get the job done however you see fit. You dont necessarily need to be super technical for this on the data side, rather youll act as an effective conductor to an orchestra of data specialists, developers, the product team and clients. What you bring to the table is a strong knowledge of investment types in the funds/asset management industry. Added to this youll offer an in-depth understanding of how these all feed in to building an accurate investment valuation that can be delivered in a repeatable fashion to set deadlines. Your mindset will definitely be one that is data-driven, and you see analytics, automation and AI as the future Please do send on whatever version of your CV you have at hand and would be happy to have a call to discuss in more detail from there.