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These individuals are excluded from affordable credit and underserved by traditional financial institutions. Our purpose is “To improve the nation’s financial health through accessibility, affordability, and community.”\r\nWe are a fast-growing social FinTech company, empowering not-for-profit Credit Unions in the UK with cutting-edge technology. Our goal is to transform a select group of Community Lenders into a network of challenger banks that provide a viable alternative to high-cost lenders.\r\nWith a team of over 200 people and more than 180,000 active customers, Amplifi is a data-driven business with strong ambitions and a proven platform. We are led by a senior team with decades of experience across institutions such as Credit Suisse, UBS, NatWest, Capital One, NewDay and Barclays.\r\n \r\nThe Role:\r\nAt Amplifi, data lies at the heart of all strategies. 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stakeholders through the presentation of analysis and recommendations in order to drive impactful change.\r\n Collaborate with the data engineering and product teams to enhance data quality and ensure efficient integration of credit risk tools and systems.\r\n Support in testing and validating new credit risk tools, processes, and decision-making frameworks.\r\n Stay updated on industry trends, fraud prevention techniques, and regulatory changes, sharing relevant insights with the team.\r\n Mentor and support junior analysts, fostering a culture of analytical excellence and continuous development within the team.\r\n Requirements\r\nThis is a significant role in the analytics team of a fast-growing business and hence the ideal candidate would be someone who:\r\n Is passionate about data, analytics, and credit risk management.\r\n Is proactive, self-motivated, and comfortable working in a dynamic environment.\r\n Has excellent communication skills, capable of presenting complex insights to both technical and non-technical audiences.\r\n \r\nTo be successful, you should have:\r\n 3-5+ years of experience in credit risk, fraud analytics, or a related field, ideally within consumer lending.\r\n Strong proficiency in SQL to query and extract insights from large datasets; experience with Python is a big plus.\r\n Advanced Excel skills, including the ability to work with complex formulas, pivot tables, and data analysis tools.\r\n A solid grounding in probability and statistics\r\n A solid understanding of credit risk decisioning, strategies, and affordability assessment methodologies.\r\n Experience in creating data monitoring and KPIs with tools like PowerBI/Tableau or similar\r\n Familiarity with fraud detection and prevention techniques, as well as UK bureau data (e.g., Experian, Equifax, or TransUnion).\r\n Excellent analytical and problem-solving skills, with attention to detail and a data-driven approach.\r\n A degree in a numerate discipline (e.g., Mathematics, 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a key role in shaping the firm’s expanding capabilities in credit and equity derivatives, building on our established expertise in interest rate and FX risk.\r\n\r\nKey Responsibilities:\r\n Design, develop, and document pricing and risk models for credit and equity derivatives as part of the firm’s strategic expansion in these areas.\r\n Work closely with Quant Dev to integrate new models into our internal Python-based risk platform.\r\n Support the Quant Strategies and Risk Advisory teams with model calibration, validation, and interpretation across private credit and equity-related exposures.\r\n Contribute to liquidity risk modelling, credit charge calculation, and scenario analysis for private market portfolios.\r\n Conduct research into new modelling methodologies and maintain awareness of market and regulatory developments.\r\n Translate complex model outputs into actionable insights for both internal and external stakeholders.\r\n Prepare technical documentation, testing frameworks, and presentation materials for model sign-off and client communication.\r\n Requirements\r\n Minimum 5 years of experience in a quantitative finance, risk modelling, or financial engineering role.\r\n Master’s degree or higher in a quantitative/STEM field (e.g., Mathematics, Physics, Financial Engineering, Computer Science).\r\n Practical experience with pricing and risk management of credit and/or equity derivatives, ideally across multiple asset classes.\r\n Strong programming skills in Python for financial modelling and data analysis.\r\n Solid understanding of market risk concepts including VaR, stress testing, sensitivities, and exposure analysis.\r\n Ability to work independently on model design and testing, while collaborating effectively with cross-functional teams.\r\n Excellent communication skills and the ability to explain quantitative results to non-specialist audiences.\r\n Strong attention to detail and ability to manage multiple project streams.\r\n 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Please apply if you are interested in future opportunities within our quantitative strategy group. \r\nCapula is looking to hire Quantitative Strategists in our London office. Successful candidates will have recently completed their PhD, be highly quantitative and have a clear interest in finance. This is an exciting opportunity to be part of the team of a world-renowned and dynamic global quantitative hedge fund.\r\n\r\nResponsibilities:\r\n Working closely with researchers and traders on defined project(s) leading directly to trading decisions\r\n Backtest trading models and strategies\r\n Receive and participate wholly in training in financial modelling, analysis, research methods and trading strategies, in particular financial flows analysis.\r\n Apply knowledge of finance theory to improve existing quantitative decision making models and tools\r\n Requirements\r\nWhat we look for:\r\n Have graduated, or are graduating shortly, with a PhD in a highly quantitative discipline (e.g. Physics, Mathematics, Statistics, Engineering or another quantitative field)\r\n A keen interest in finance\r\n Excellent quantitative and analytical skills accompanied by critical thinking and intellectual curiosity\r\n Experience with programming (e.g. Python/C++)\r\n A consistently strong academic record\r\n An interest in working in a highly dynamic environment\r\n Benefits\r\nCapula provides a competitive salary, visa sponsorship, relocation assistance and a competitive benefits package that includes free breakfast and lunch.\r\n","price":"Negotiable Salary","unit":"per year","currency":null,"company":"Workable","language":"en","online":1,"infoType":1,"biz":"jobs","postDate":"1756817452000","seoName":"quantitative-strategist-phd","supplement":null,"author":null,"originalPrice":null,"soldCnt":null,"topSeller":null,"source":1,"cardType":null,"action":"https://uk.ok.com/en/city-thames-ditton/cate-analysis-reporting3/quantitative-strategist-phd-6350006515852912/","localIds":"19","cateId":null,"tid":null,"logParams":{"tid":"07ff219b-e100-41e4-9943-c0c567ff4050","sid":"070958e1-d8d5-45aa-9043-ec9b0a3ff8f3"},"attrParams":{"summary":null,"highLight":["PhD in quantitative field required","Work on trading strategies","Competitive salary and benefits"],"employment":[{"icon":"https://sgj1.ok.com/yongjia/bkimg/8hvituaa__w72_h72.webp","name":"Job Type","value":"Full-time","unit":null},{"icon":"https://sgj1.ok.com/yongjia/bkimg/is8j0f44__w72_h72.webp","name":"Workplace type","value":"Onsite","unit":null},{"icon":"https://sgj1.ok.com/yongjia/bkimg/ji66qqr0__w72_h72.webp","name":null,"value":"City of London,England","unit":null}]},"addDate":1756094259051,"categoryName":"Analysis & Reporting","postCode":null,"secondCateCode":"banking-financial-services","kycTag":null,"pictureUrls":null,"isFavorite":false},{"category":"4000,4050,4052","location":"London, UK","infoId":"6339328773772912","pictureUrl":"https://uspic1.ok.com/post/image/fc2dfa4f-dccd-4b5b-b64c-e4037dc4d35f.jpg","videos":null,"title":"Senior Business Analyst (Financial Analyst) - B2B SaaS Fintech","content":"Landytech is on a mission to revolutionize the way that investment managers, asset owners and their advisors access asset information. Powered by Sesame, an industry-leading investment reporting platform, we are helping clients in over 15 countries make informed investment decisions and deliver insights faster.\r\nThe company is growing rapidly and it's an exciting time to join, having secured $12M in Series B funding in January 2023. In just four years, it has gone from two co-founders to a team of 100+ staff, with offices in London and Paris. At Landytech, we see diversity as our strength with a team from over 15 countries and 14 languages spoken.\r\nTeam & Role\r\nWe are seeking a Senior Business Analyst to join our analytics & reporting agile team building innovative fintech products. You will leverage your expertise with financial analytics and financial data to inform strategic analysis and decision-making processes for a team focused on enhancing our B2B SaaS solutions.\r\nResponsibilities\r\n Collaborate with product owners and designers to align the needs of our customers, services team, and sales team with product roadmaps. Your role will span from ideation through to delivery\r\n Work actively within cross-functional agile teams to ensure effective project management and product development\r\n Maintain strong relationships with customer facing teams and participate in customer-facing meetings as required\r\n Act as a subject matter expert on investment performance, attribution, and risk reporting for private and institutional clients.\r\n Gather, analyze, and document business and functional requirements for product features, enhancements, and client reporting capabilities, within the area of investment analytics\r\n Collaborate closely with the engineering and analytics teams to ensure alignment of metrics, performance data, and attribution logic.\r\n Lead workshops with internal and external stakeholders to capture requirements and validate solutions.\r\n Bridge business goals with technical implementation, ensuring consistent delivery of high-impact reporting tools.\r\n Your Skills & Expertise\r\n Fluent in English, with excellent written and verbal communication skills\r\n Based in London or willing to relocate to London\r\n 3-5 years’ experience as a financial analyst in financial markets, either within fintech or conventional financial institutions\r\n Deep knowledge across asset classes, including both public and private markets\r\n Strong analytical skills, preferably with demonstrable experience in financial modeling and data analysis\r\n Strong knowledge of performance measurement, performance attribution methodologies, and investment accounting (Eg GIPS standards).\r\n Familiarity with institutional risk systems and models – particularly MSCI RiskMetrics and BarraOne a strong plus\r\n Demonstrated experience working on investor reporting platforms, client portals, or performance dashboards.\r\n Strong analytical and communication skills; ability to influence stakeholders and translate complex requirements clearly.\r\n Experience with data visualization/reporting tools (e.g. Tableau, Power BI, Looker).\r\n SQL or data querying experience to support analysis and validation.\r\n Our Benefits\r\n An opportunity to work in a fast growing fintech revolutionizing investment reporting\r\n Hybrid style of work/WFH allowed depending on role\r\n Competitive salary & stock options package\r\n Private medical insurance with Bupa for you and your family members\r\n Life insurance option\r\n Pension Plan with NEST\r\n Cycle to Work Scheme and gym allowance\r\n Office food & drinks, regular socials\r\n If this sounds like a match to you, we are looking forward to receiving your application! 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The Individual should be passionate about technology, experienced in developing and managing cutting edge technology applications.\r\nYears of experience needed: 7-10 years.\r\nTechnical Skills: \r\n•\tLead contract negotiations in partnership with key stakeholders ensuring the most appropriate Consumer credit reporting data products are delivered to the group at the best possible price\r\n•\tManage contract related risks and issues, supplier audits, and cost transparency to demonstrate contractual compliance to protect the business\r\n•\tProvide analysis on and insights into Consumer credit reporting data costs to allow business managers and finance business partners to set and track Consumer credit reporting data budgets and realize cost savings\r\n•\tWork with business franchises and functions to accurately define precise business requirements; providing an ongoing subject matter expert point of contact for Credit Reference Agencies\r\n•\tIn this role, you’ll be supporting the delivery and management of Consumer credit reporting data services to our group, while helping to provide Consumer credit reporting data optimization initiatives\r\n•\tDay-to-day, you’ll support internal technology applications and desktop products to make sure they’re compliant with third-party data policies to mitigate and manage issues and risks\r\n•\tYour daily responsibilities will see you maximizing the value of supplier relationships and driving cost efficiencies in collaboration with key stakeholders. 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Location:
Thames Ditton
Category:
Analysis & Reporting

Workable
Senior Credit Risk Analyst
About Us:
One-third of the UK’s working-age population is unable to access mainstream financial services. These individuals are excluded from affordable credit and underserved by traditional financial institutions. Our purpose is “To improve the nation’s financial health through accessibility, affordability, and community.”
We are a fast-growing social FinTech company, empowering not-for-profit Credit Unions in the UK with cutting-edge technology. Our goal is to transform a select group of Community Lenders into a network of challenger banks that provide a viable alternative to high-cost lenders.
With a team of over 200 people and more than 180,000 active customers, Amplifi is a data-driven business with strong ambitions and a proven platform. We are led by a senior team with decades of experience across institutions such as Credit Suisse, UBS, NatWest, Capital One, NewDay and Barclays.
The Role:
At Amplifi, data lies at the heart of all strategies. As a fintech in the consumer lending space we strongly believe that innovative use of data and technology are key to delivering on our strategic objectives. As a Credit Risk Senior Analyst, you will play a key role in optimising our credit risk strategies and ensuring robust decision-making that supports sustainable growth and excellent customer outcomes.
This role focuses on analysing customer data, evaluating credit risk policies, forecasting and monitoring portfolio performance to identify areas for improvement. You will also contribute to fraud detection and prevention strategies, leveraging your skills to protect both the business and our customers.
Working closely with the Credit Risk Manager and collaborating with teams across product, pricing, data science, and operations, you will develop actionable insights that inform decision-making and drive business performance.
Key Responsibilities:
Lead complex analyses of credit risk policies and portfolio performance, providing actionable insights to optimise risk management strategies.
Support the development and implementation of credit risk models and decision systems, ensuring they align with business goals.
Take ownership of key metrics related to credit risk and fraud, identifying trends and recommending improvements to strategies and policies.
Drive fraud analytics by identifying and analysing patterns related to first-, second-, and third-party fraud, working with the Fraud team as needed.
Influence senior stakeholders through the presentation of analysis and recommendations in order to drive impactful change.
Collaborate with the data engineering and product teams to enhance data quality and ensure efficient integration of credit risk tools and systems.
Support in testing and validating new credit risk tools, processes, and decision-making frameworks.
Stay updated on industry trends, fraud prevention techniques, and regulatory changes, sharing relevant insights with the team.
Mentor and support junior analysts, fostering a culture of analytical excellence and continuous development within the team.
Requirements
This is a significant role in the analytics team of a fast-growing business and hence the ideal candidate would be someone who:
Is passionate about data, analytics, and credit risk management.
Is proactive, self-motivated, and comfortable working in a dynamic environment.
Has excellent communication skills, capable of presenting complex insights to both technical and non-technical audiences.
To be successful, you should have:
3-5+ years of experience in credit risk, fraud analytics, or a related field, ideally within consumer lending.
Strong proficiency in SQL to query and extract insights from large datasets; experience with Python is a big plus.
Advanced Excel skills, including the ability to work with complex formulas, pivot tables, and data analysis tools.
A solid grounding in probability and statistics
A solid understanding of credit risk decisioning, strategies, and affordability assessment methodologies.
Experience in creating data monitoring and KPIs with tools like PowerBI/Tableau or similar
Familiarity with fraud detection and prevention techniques, as well as UK bureau data (e.g., Experian, Equifax, or TransUnion).
Excellent analytical and problem-solving skills, with attention to detail and a data-driven approach.
A degree in a numerate discipline (e.g., Mathematics, Statistics, Economics, or STEM) or equivalent practical experience.
Also Desirable:
Experience working with decision systems and credit scoring models.
Modelling experience, applied to Financial Services
Experience working in a scale-up or high-growth environment.
Benefits
Competitive salary
25 days annual leave
Pension
Death in Service Provision
Private health insurance
Subsidised Childcare
Subsidised Gym Membership
Hybrid working (2 days from home)
Commitment:
We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
Please note that all offers of employment are conditional on us obtaining satisfactory pre-employment checks, including a DBS check, a credit check and employment references.

London, UK
Negotiable Salary

Workable
Quantitative Research Associate
We are looking for an Associate Quantitative Analyst to join our Quantitative Research team.
This team is responsible for developing and validating the financial models that drive our market risk analytics, with a particular focus on liquidity risk and credit charges in private market portfolios.
As part of a growing quantitative team—alongside Quant Development, Quant Strategies, and Risk Advisory—you will play a key role in shaping the firm’s expanding capabilities in credit and equity derivatives, building on our established expertise in interest rate and FX risk.
Key Responsibilities:
Design, develop, and document pricing and risk models for credit and equity derivatives as part of the firm’s strategic expansion in these areas.
Work closely with Quant Dev to integrate new models into our internal Python-based risk platform.
Support the Quant Strategies and Risk Advisory teams with model calibration, validation, and interpretation across private credit and equity-related exposures.
Contribute to liquidity risk modelling, credit charge calculation, and scenario analysis for private market portfolios.
Conduct research into new modelling methodologies and maintain awareness of market and regulatory developments.
Translate complex model outputs into actionable insights for both internal and external stakeholders.
Prepare technical documentation, testing frameworks, and presentation materials for model sign-off and client communication.
Requirements
Minimum 5 years of experience in a quantitative finance, risk modelling, or financial engineering role.
Master’s degree or higher in a quantitative/STEM field (e.g., Mathematics, Physics, Financial Engineering, Computer Science).
Practical experience with pricing and risk management of credit and/or equity derivatives, ideally across multiple asset classes.
Strong programming skills in Python for financial modelling and data analysis.
Solid understanding of market risk concepts including VaR, stress testing, sensitivities, and exposure analysis.
Ability to work independently on model design and testing, while collaborating effectively with cross-functional teams.
Excellent communication skills and the ability to explain quantitative results to non-specialist audiences.
Strong attention to detail and ability to manage multiple project streams.
Preferred Qualifications:
Experience with C++ or Rust for performance-critical quantitative modelling.
Familiarity with private market liquidity risk, credit charges, and illiquid portfolio analytics.
Exposure to interest rate and FX derivatives and related risk frameworks.
Benefits
Validus Risk Management is an independent technology-enabled advisory firm specialising in the management of FX, interest rate and other market risks. We work with institutional investors, fund managers, and portfolio companies to design and implement strategies to measure, manage and monitor financial market risk, using a market-tested combination of specialist consulting services, trade execution and innovative risk technology.
Working at Validus can offer an exciting opportunity for both personal development and professional growth. Share in our mission to become the largest and most respected specialist provider of financial market risk services in the world. Notable benefits include a competitive remuneration package (salary + bonus), health care, retirement plans, and financial support towards professional qualifications.
Our core company values are;
Accountability – Getting it done and owning the result.
Teamwork – We succeed by helping others succeed.
Integrity – We serve our clients; the responsibility is sacrosanct.
Diversity – Diversity boosts creativity – creativity is our edge.
Kaizen – Strive to do things better. Innovation kills complacency.
Validus is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

London, UK
Negotiable Salary

Workable
Quantitative Strategist (PhD)
Please note, we are not actively hiring for this role. Please apply if you are interested in future opportunities within our quantitative strategy group.
Capula is looking to hire Quantitative Strategists in our London office. Successful candidates will have recently completed their PhD, be highly quantitative and have a clear interest in finance. This is an exciting opportunity to be part of the team of a world-renowned and dynamic global quantitative hedge fund.
Responsibilities:
Working closely with researchers and traders on defined project(s) leading directly to trading decisions
Backtest trading models and strategies
Receive and participate wholly in training in financial modelling, analysis, research methods and trading strategies, in particular financial flows analysis.
Apply knowledge of finance theory to improve existing quantitative decision making models and tools
Requirements
What we look for:
Have graduated, or are graduating shortly, with a PhD in a highly quantitative discipline (e.g. Physics, Mathematics, Statistics, Engineering or another quantitative field)
A keen interest in finance
Excellent quantitative and analytical skills accompanied by critical thinking and intellectual curiosity
Experience with programming (e.g. Python/C++)
A consistently strong academic record
An interest in working in a highly dynamic environment
Benefits
Capula provides a competitive salary, visa sponsorship, relocation assistance and a competitive benefits package that includes free breakfast and lunch.

London, UK
Negotiable Salary

Workable
Senior Business Analyst (Financial Analyst) - B2B SaaS Fintech
Landytech is on a mission to revolutionize the way that investment managers, asset owners and their advisors access asset information. Powered by Sesame, an industry-leading investment reporting platform, we are helping clients in over 15 countries make informed investment decisions and deliver insights faster.
The company is growing rapidly and it's an exciting time to join, having secured $12M in Series B funding in January 2023. In just four years, it has gone from two co-founders to a team of 100+ staff, with offices in London and Paris. At Landytech, we see diversity as our strength with a team from over 15 countries and 14 languages spoken.
Team & Role
We are seeking a Senior Business Analyst to join our analytics & reporting agile team building innovative fintech products. You will leverage your expertise with financial analytics and financial data to inform strategic analysis and decision-making processes for a team focused on enhancing our B2B SaaS solutions.
Responsibilities
Collaborate with product owners and designers to align the needs of our customers, services team, and sales team with product roadmaps. Your role will span from ideation through to delivery
Work actively within cross-functional agile teams to ensure effective project management and product development
Maintain strong relationships with customer facing teams and participate in customer-facing meetings as required
Act as a subject matter expert on investment performance, attribution, and risk reporting for private and institutional clients.
Gather, analyze, and document business and functional requirements for product features, enhancements, and client reporting capabilities, within the area of investment analytics
Collaborate closely with the engineering and analytics teams to ensure alignment of metrics, performance data, and attribution logic.
Lead workshops with internal and external stakeholders to capture requirements and validate solutions.
Bridge business goals with technical implementation, ensuring consistent delivery of high-impact reporting tools.
Your Skills & Expertise
Fluent in English, with excellent written and verbal communication skills
Based in London or willing to relocate to London
3-5 years’ experience as a financial analyst in financial markets, either within fintech or conventional financial institutions
Deep knowledge across asset classes, including both public and private markets
Strong analytical skills, preferably with demonstrable experience in financial modeling and data analysis
Strong knowledge of performance measurement, performance attribution methodologies, and investment accounting (Eg GIPS standards).
Familiarity with institutional risk systems and models – particularly MSCI RiskMetrics and BarraOne a strong plus
Demonstrated experience working on investor reporting platforms, client portals, or performance dashboards.
Strong analytical and communication skills; ability to influence stakeholders and translate complex requirements clearly.
Experience with data visualization/reporting tools (e.g. Tableau, Power BI, Looker).
SQL or data querying experience to support analysis and validation.
Our Benefits
An opportunity to work in a fast growing fintech revolutionizing investment reporting
Hybrid style of work/WFH allowed depending on role
Competitive salary & stock options package
Private medical insurance with Bupa for you and your family members
Life insurance option
Pension Plan with NEST
Cycle to Work Scheme and gym allowance
Office food & drinks, regular socials
If this sounds like a match to you, we are looking forward to receiving your application!

London, UK
Negotiable Salary

Workable
BA with Consumer Credit Reporting Data
BA with Consumer Credit Reporting Data
Location- London
Rate- Open (Inside IR35)
Contract- 6 months extendable
Note: CV should have clear mention of Consumer credit reporting in their projects
Please note few of the Key points to source Profiles :
• Client is looking for a Analyst who will work closely with Commercials, Sales and Mktg team NW , Understand the MKt data the business requires , handle Contract Mgmt , has good Banking Knowledge , and who can Manage Contracts for Credit recovery , Credit Reference Agencies
• Debt Awareness of the Customer
• Dealing with Vendors – Commercial Perspective, commercially Negotiate
• BA with Commercial Awareness on the Delivery
• Candidate with good insights into Consumer credit reporting data , manage data licensing and Lead contract negotiations.
Requirements
Job Summary: A Consumer credit reporting data Business Analyst to manage a critical project for one of our biggest clients in banking domain. The Individual should be passionate about technology, experienced in developing and managing cutting edge technology applications.
Years of experience needed: 7-10 years.
Technical Skills:
• Lead contract negotiations in partnership with key stakeholders ensuring the most appropriate Consumer credit reporting data products are delivered to the group at the best possible price
• Manage contract related risks and issues, supplier audits, and cost transparency to demonstrate contractual compliance to protect the business
• Provide analysis on and insights into Consumer credit reporting data costs to allow business managers and finance business partners to set and track Consumer credit reporting data budgets and realize cost savings
• Work with business franchises and functions to accurately define precise business requirements; providing an ongoing subject matter expert point of contact for Credit Reference Agencies
• In this role, you’ll be supporting the delivery and management of Consumer credit reporting data services to our group, while helping to provide Consumer credit reporting data optimization initiatives
• Day-to-day, you’ll support internal technology applications and desktop products to make sure they’re compliant with third-party data policies to mitigate and manage issues and risks
• Your daily responsibilities will see you maximizing the value of supplier relationships and driving cost efficiencies in collaboration with key stakeholders. To do this, you’ll interact with differing levels of management across a variety of franchises and functions.
• We’ll need you to manage data licensing to make sure all our franchises and functions remain compliant, whilst maximizing cost reduction opportunities from the evaluation of alternate providers. You’ll also deliver financial reporting, data analysis and Credit Reference Agency service recommendations.
• The ability to translate Consumer credit reporting data commercial policies and intellectual property user provisions from vendors into clear terms related to data use rights
• Analytical, communication and presentation skills
• Organizational and decision-making skills and an understanding of how to work independently
• Knowledge of how to handle multiple projects and initiatives at the same time and to work well under pressure
• Anyone who has worked with Equifax, Experian or TransUnion would be a good fit.

London, UK
Negotiable Salary
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