CVL

Job Title: Analytics Manager Location: West Yorkshire Salary: c.£50,000 + bonus & benefits This role offers an excellent opportunity for a self-motivated, highly numerate Senior Analyst or Analytics Manager to make a significant difference within a well-established and rapidly growing bank. This is a pivotal role with exposure to departmental leaders across the organisation so presents an opportunity to lead through collaboration as well an opportunity to further develop analytical and management skills within the team. The primary responsibilities are: Analysis & Insight • Proactively and collaboratively develop analysis and insight to support Customer Service Operations • Identify, quantify and prioritise opportunities to enhance operational efficiency and maximise sales and improve customer satisfaction • Apply excellent analytical and technical ability to ensure the highest standards of analysis and reporting are delivered across the team Project Management • Take ownership for initiatives and deliver through self and others • Maintain good standards of project management throughout all phases of the projects lifecycle • Responsible for resource and work-flow planning and tracking within their team • Operate a robust test and learn approach; develop tests based on clear analysis / hypotheses, set clear performance expectations, monitor, adjust accordingly Team Management • Line management responsibilities for direct reports • Coaching responsibilities across wider team • Role-models positive behaviours and values • Provision of support, guidance and oversight of direct reports • Builds stakeholder network and responsible for their on-going management / relationship Business Development • Drive continual improvement of existing processes across Operations and beyond • Help design, drive and support the Digital Agenda across the bank including • Web Site • Mobile / App offerings • Integrated communications across EM, DM, SMS and Voice Candidate Profile • Extensive programming (SAS or SQL), database extraction and reporting experience • Expertise in insight and investigation • Currently in a Senior Analytical or Management role • A flair for innovation • Honours degree (2:1 or better) in a maths based subject (Engineering, Maths, Physics, Economics etc.) • Clear, logical analytical approach to problem-solving • Detail / accuracy focussed but also able to see the bigger picture • Ability to investigate data, find trends, forecast performance and provide insightful recommendations Please send your CV or call us on (Apply online only)

Job Title: Senior Analyst – Risk Strategy - SAS Location: Chester Salary: Negotiable – Depending On Experience The Senior Analyst will be responsible for the development, tracking and forecasting of existing account risk strategy with specific focus on strategy testing programs and strategy development for balance growth through both proactive strategies and customer initiative requests. The role holder will be responsible for analysis and reporting to understand financial performance of risk strategies and customer behaviours as they impact the P&L. The holder will partner closely with Finance, Marketing, Execution, and MIS reporting teams, database teams to deliver robust strategies and best in class strategy reporting and analytics. Accountabilities • Development of measurable strategies for cash and line increases which optimise the risk and reward performance through understanding of customer behaviours and impacts to key P&L lines • Analyse the relative success of the strategy suite and deliver strategy insight, recommending corrective actions as necessary • Assist with management and improvement of control environment. Proactively raise self assessment issues and execute self-assessment of strategy programs to ensure they are delivering expected actions • Test, learn and rapid cycle re-forecasting of strategy financial performance • Partner with CRM internal stakeholders to deliver effective analytical environment that supports comprehensive strategy performance tracking and P&L re-forecasting • Partner with key stakeholders from across the business as required to develop and execute co-ordinated, robust, compliant and coherent treatment strategies • Innovation of strategy development and test design, using learnings from existing program insight, solving to P&L objectives • Present at Strategy Tracking Forums, sharing strategy performance against expectations. • Communicate balance growth strategy performance and context across key stakeholders • Coaching of Band 6 analysts. Candidate Profile • SAS Enterprise Guide programming knowledge • Advanced Excel skills to access Cube data and aid presentation of analysis (not including VBA) • Also able to use complex data to drive strategy and business changes • Ability to construct executive presentations • Understanding of behaviour score inputs, bad definition and usage • Extensive experience of completing complex data analysis from a wide analytical brief • Proven ability to create proposals and provide recommendations on the back of analysis • Proven ability of creating impactful presentations • Proven numerical and analytical background • Ability to communicate crisply and candidly • Understanding of P&L and its key drivers • Technical skills including the ability to use SAS/SQL to interrogate and summarise data • Graduate maths, economics, engineering or equivalent Please send your CV or call us on (Apply online only)

Job Title: Modelling & Analytics Manager Location: London Salary: to £75,000 + car allowance, bonus & benefits Our client, a successful and established financial services organisation is looking for a Manager to lead their Decision Science Analytics team at their offices in London. You will be responsible for leading the development, validation and maintenance of credit risk scorecards. You will lead scorecard implementation, cut-off strategies, oversight of scorecard monitoring, and related recommendations regarding scorecard re-alignment or re-development. As a Manager you will: • Develop and manage development of credit risk scoring and underwriting models • Utilize customer information and behavioural scoring models to enhance collection and borrower retention strategies • Oversight post implementation monitoring of all scorecards to ensure discriminatory power, stability, and accuracy is within tolerance limits • Work with the data team to ensure that data is fit for purpose, is optimized for analytical work, and new data sources are integrated • Work with Analytics teams to analyse and recommend appropriate cut-off strategies • Liaise with business stakeholders to understand modelling requirements, and provide direction and oversight on model use • Manage development and monitor champion/challenger strategies • Evaluate next generation tools to reduce scorecard development time without degrading benchmark performance • Lead a small team which is likely to grow, and be responsible for ensuring colleagues have a clear understanding of the business objectives and how their role contributes to them • Manage costs within budget parameters • Identify, initiate, and champion a culture of continuous improvement and business change What do you need to apply? • Significant experience as a scorecard developer preferably from within a Credit Risk function • Expertise and experience in credit scoring and other statistical modelling techniques • Strong communication skills and the ability to communicate with people at all levels in an organisation • Ability to influence and challenge constructively, particularly at Head of Function level • Ability to lead, coach and mentor a team • Rigorous attention to detail • Strong understanding of consumer credit, preferably in the non-standard sector • Advanced programming ability in either SAS, SQL or R as well as MS Office package • Skills and ability to communicate complex analytics results in a clear and concise manner • Ability to manage workload by producing timelines, schedules, and project plans • Understand the requirements of an FCA regulated business • A degree in Statistics, Mathematics, Sciences, Operation Research or Econometrics Please send your CV or call us on (Apply online only)

Job Title: Senior Portfolio Strategy Analyst – SAS/SQL Location: Leeds Salary: £35,000 - £45,000 + bonus & benefits Our client requires a Senior Analyst to develop and maintain the credit risk strategies that drive their acquisition and account management systems, ensuring that the decisions are profitable, provide adequate control of credit losses and support the underwriting and fraud teams. The role will involve working on a range of analytical projects with minimum guidance. The Senior Analyst will need to have good project management skills and be able to oversee analytic developments for diversified portfolios and solutions across the European region. Your responsibilities will include: • Developing and maintaining risk management strategies within account opening and account management systems, to maximise returns and support the operational teams. Identifying opportunities to safely grow the business without compromising credit quality and returns. • Optimising the use of statistical models in strategy design, as well as optimising generation of fraud and underwriting referrals. • Formulating business problems and translating them into an actionable analytics plan. Developing project plan and managing own projects. • Liaising with key business stakeholders, understanding the requirements and recommending appropriate analysis to drive projects to successful completion. • Working closely with colleagues within the global analytics team and supporting offshore projects. • Accurately analysing trends, financial data and company status to make informed decisions regarding complex credit issues. You will have: • At least 3 years’ experience in a similar analytical role e.g. financial services, retail, energy etc. • Experience of using SAS and SQL. • A degree in a numerical subject (Desirable). However work experience equivalent will be considered. • Strong communication skills with the ability to adapt your material and delivery style to technical and non-technical audiences. • The willingness to mentor and guide junior analysts. Please send your CV or call us on (Apply online only)