Lead Data Strategy Design job in London at Magrath LLP

Lead Data Strategy Design

Company: Magrath LLP

Location: London UK

Date Posted:Dec 08, 2016

Please note that this advert has been posted by Magrath LLP on behalf of Barclays. Employment will be with Barclays. Job TitleLead Data Strategy Design SalaryCompetitive  LocationLondon  A position has become available at a leading bank for the above position.  Main Duties: Overall purpose of role: Develop a forecasting solution for normal and stress scenarios that integrates finance, risk & treasury processes and models within a strategically robust system architecture. Data Strategy and Governance team within Barclays Risk Analytics function is looking for a strong data strategy analyst and SAS developer to support the delivery of the Barclays DBM models. The role involves contribution to the data preparation, implementation and supporting a modelling team responsible for DBM model build across Barclays group portfolios, spanning numerous functions (wholesale, Retail, Credit Card, Wealth), product types, customer segments and geographies (including the UK, Europe and US). Data Strategy team in Risk Analytics function is responsible to develop and implement the data framework across different Risk functions. As Lead Data Strategy Analyst within this high-profile team, you will take ownership of DBM data strategy and infrastructure support for multiple portfolios and work with stakeholders across Credit Risk, Finance and the business to understand all factors that impact Impairment, preparing modelling-friendly analytical datamarts, ensuring that model input data is accurate and the end to end processes are well structured by following a rigorous governance and standard framework. You will be expected to work across the wider Risk and Finance functions, ensuring best practice for tactical and longer term solutions, in addition to providing insight into data and derive value-added analysis. Key Accountabilities and Skills required:It is important to note this is a data related role and not a risk/finance modelling role. This team is supporting multiple risk and finance modelling teams across Barclays who are building the DBM models Data Strategy and Implementation (60%)Acting as a Lead Design to ensure a comprehensive Data Management solution is in place to support the DBM modelling and downstream activities Working with data developer to ensure the ETL processes designed to ingest the data is fit for purpose, accurate and the data reconciles to Risk and Finance KPIsVery strong SAS, SQL, data modelling and transformation skills - with ability to manipulate large datasets, automate processes and debug code with minimal steer.Strong passion for data exploration, manipulation, data quality and benchmarking utilising SAS or any other analytical toolsBecome data and process experts across different clusters feeding information into the DBM models.Excellent knowledge of data warehouse and MI environmentsKnowledge discovery and presenting findings for range of stakeholders. This involves importing, cleaning, transforming, validating and benchmarking or modelling data with the purpose of understanding or making conclusions from the data for decision making purposes End-to-end project planning and delivery. Ability to work dynamically on multiple projects independently and strong stakeholder management while putting customers in the heart of everything we doValidate, track, and monitor delivered projects. Upkeep of BAU processes by ensuring regular review of DBM data preparation processes to identify areas of improvement, focusing on accuracy, robustness and controlsProduce robust documentation to ensure reliability of results and fulfil Barclays governance requirements. Service Delivery (10%)Design and implement data strategies and processes for DBM projects taking into account stakeholder needs and technical strategy of the organisation.Provide insight and recommendations on best use of data and infrastructure to DBM modelling team and other stakeholders. Lead interactions with technology teams and leaders, ensuring requirements are taken into account in decision making.Maintain high levels of delivery, service and excellence in ensuring SLAs are kept and quality meets high standards expected.Be an integral part of change agenda within business, data and technical areas and design innovative solutions to drive the team forward.Relationship & Stakeholder Management (10%)Establish and maintain effective working relationship with key stakeholders.Provide insight on infrastructure, process and data and develop innovative solutions to stakeholders to enable them to make informed decisions to DBM modelling teamBuilding a cross functional network of contacts in Risk, Finance and Business teams within the bank - championing the sharing and adoption of best practiceKeep the stakeholder and senior management informed about any important developments or issues within the projects. Compliance & Controls (20%)Ensure processes are managed in line with key policy and SOX controls liaising with the governance, policy and SOX teams where necessary.Develop and put into action local standards to ensure adherence to Barclays PoliciesOperate within defined governance and control frameworks and ensure compliance for in-scope processes to be audit-ready all the time.Regularly review controls to ensure on-going best fit, compliance and efficiency improvements can be implemented.Support the wider delivery pipeline by taking part in reviews and committees. Risk and Control: All Barclays colleagues have to ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards  Your Skills and Qualifications will include: EssentialA high level of analytical work experience in financial services strongly preferred.Experience of over sighting data provisioning processes is essential Experience of Project Management and People Management is required  Extensive knowledge of SAS, Rational Databases (Oracle, Teradata etc.), UNIX, Tivoli and other analytic toolsets.Experience in consumer credit risk and/or finance analytics across customer lifecycle Knowledge of financial services portfolios. Awareness of the economy, market and customer trends affecting the business.Familiarity with analytical techniques and their value in business.Unrivalled attention to detail.Project and stakeholder management experience.Strong communication and interpersonal skills. PreferredExperience in working on Hadoop platform and tools such as Impala, Hive, Spark, Pig, etc. is a bonusknowledge of Collections and Recoveries in customer lifecycleExperience with other analytical tools such as R, WPS and SPSSKnowledge of SAP Business Objects is desirable but not essentialFamiliar with Impairment, Advanced Internal Rating-Based (AIRB) modelling (PD, LGD and EaD) and Regulatory reportingUniversity degree in quantitative discipline is an advantage (e.g. Computer Science, Statistics, Operations Research, Economics and Engineering)Understands the importance of strong awareness of the Control framework within which the bank manages risk and supports team members in understanding it How to Apply Please email a covering letter and CV to apply@jobreplies.co.uk and place the referenceBAR/0031/05594 on the subject line of your email. Respondents are deemed to consent to the release of information to our client when submitting their details. All successful applicants will be contacted. Applicants have four weeks from the date of posting to reply to this vacancy.  The closing date of this advert is Thursday, 05 January 2017. View full job description
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