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Page 28 of 193
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This person is adept at using data to find opportunities for improving business performance and using models to test the effectiveness of different courses of action. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

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📍Location: Basingstoke - Remote Operations Centre (ROC), some remote work, and potentially some onsite work 📝Contract: Freelance/Casual from September - December 💰Day Rate: up to £250 📆Start Date: Immediate 🌟What The Role Is All About: Hawk-Eye provides event data services to FIFA for tournaments. If you do not hit all of the criteria above but believe that there are certain areas you excel and that you possess the passion and desire to develop the other attributes, then we encourage you to apply.

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We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. They are responsible for the full stack of work involved in handling these asset sectors, including new issuance and bond data, collateral performance data, cashflow modeling, periodic cashflow and collateral reconciliation, customer support, and client engagement. We'll get in touch to let you know what the next steps are!

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The position's responsibilities also include analyzing new data product & solution expansion opportunities and assisting in building business cases for them as necessary, as well as providing subject matter expertise and training to sales partners and customers to help advance the sales and implementation process. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. • Demonstrable prior product experience of successful product development and roll-out, and clear understanding of the impacts to stakeholders throughout the end-to-end lifecycle • Experience in presenting and turning new ideas and products into meaningful client focusing offerings • Commercial and Financial experience of managing assets such as investment funds and product P&L • Proven ability to take initiative, solve business problems, and have focus on client success • Must be a problem solver.

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Product Manager - Credit, Counterparty & Climate Risk Data Location London Business Area Product Ref # 10038102 Description & Requirements Bloomberg Enterprise Data Bloomberg's Enterprise Data continues to be a market leader and the enterprise data provider of choice for the financial services industry. Our product development process starts with market analysis and prototyping with clients, then leads to the technical implementation with engineering and quantitative research teams, and finally driving client adoption with the sales and marketing teams. We need someone with the ability to approach challenges with creativity and passion; someone who has the courage to innovate and advocate for change and then deliver on those proposals. Experience working with engineering/technology and a track record of delivery and execution around product and content specifications, development and ultimate client delivery Excellent presentation and communication and interpersonal skills with an ability to present to management, build internal networks and client relationships across and outside of the firm.

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This business is core to our growth strategy across Enterprise Data, and our ambition is to continue servicing the most complex demands and challenges of our investment research and trading clients. Handle the support of new and existing clients from a product perspective, ensuring the credit analytics and workflows are set up to client's expectations and providing feedback on client needs, competitor intelligence, and market trends. Familiarity with data science and quantitative investing processes. The ability to build an internal network that fosters collaboration and builds on a strong culture of teamwork.

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You'll also focus on Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements, as well as providing guidance on how to implement processes to measure, monitor and report on our data quality to our internal partners in Product or Sales. We'll get in touch to let you know what the next steps are!

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