Barclays
Banking
DecisionAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Decision Analyst at Barclays. Skills: SAS, SQL, Python, analytical skills, quantitative skills, predictive statistical models, forecasting techniques, machine learning, Risk-Reward models, strategic recommendations. Identification and extraction of relevant data from various internal and external sources. Performing sensitivity analysis and scenario planning”
What You'll Achieve.
develop robust decision models; presenting actionable recommendations; driving continuous improvement; deliver to a consistently excellent standard; optimize outcomes
Industry & Context.
extract meaningful insights from complex data sets; analytical and quantitative skills to evaluate data, identify patterns and trends, and generate insights; critical and strategic thinking, enabling them to solve complex business problems, assess trade-offs, evaluate risks, and develop data-driven solutions; Make evaluative judgements based on the analysis of factual information, paying attention to detail; Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents
What They're Looking For.
Must Have
SAS, SQL, Python, analytical skills, quantitative skills, Attention to detail, predictive statistical models, forecasting techniques, machine learning, Risk-Reward models, strategic recommendations through analytics in Unsecured lending (Cards/Loans/Overdrafts), Banking, Retail, eCommerce or pharmaceutical domains, critical and strategic thinking
Nice to Have
Effective articulation and story-telling ability, commercial understanding of unsecured lending products, risk and affordability policy, and the key drivers of revenue, risk, and cost, risk and controls, change and transformation, business acumen strategic thinking, digital and technology
What You'll Do.
Identification and extraction of relevant data from various internal and external sources
Performing sensitivity analysis and scenario planning
Monitoring and evaluation of the performance of existing models
Development and implementation of data quality control procedures
Building and validation of quantitative models to support decision-making across different business areas
spearhead the evolution of our digital landscape
driving innovation and excellence
harness cutting-edge technology to revolutionize our digital offerings
ensuring unapparelled customer experiences
shaping Barclays’ unsecured lending strategies through rigorous data analysis and actionable insights
drives strategic recommendations on Product
supports the analytical agenda for unsecured lending products
Pricing and Limit strategies
ensuring robust decision-making at every turn
How You'll Work.
Team & Collaboration
presenting actionable recommendations to stakeholders across the departments; lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources; Partner with other functions and business areas; Advise and influence decision making within own area of expertise; Maintain and continually build an understanding of how own sub-function integrates with function; Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function; Guide and persuade team members; Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation; Working closely with senior leaders across Product, Finance, and Risk
Communication Scope
presenting actionable recommendations; Effective articulation and story-telling ability; communicate complex analytical findings in a clear and compelling manner to diverse stakeholders; Guide and persuade team members and communicate complex / sensitive information
Full Job Description
# **Job Description** **Purpose of the role** To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments. **Accountabilities** * Identification and extraction of relevant data from various internal and external sources. * Performing sensitivity analysis and scenario planning. * Monitoring and evaluation of the performance of existing models. * Development and implementation of data quality control procedures. * Building and validation of quantitative models to support decision-making across different business areas. **Analyst Expectations** * To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. * Requires in-depth technical knowledge and experience in their assigned area of expertise * Thorough understanding of the underlying principles and concepts within the area of expertise * They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. * If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. * OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. * Will have an impact on the work of related teams within the area. * Partner with other functions and business areas. * Takes responsibility for end results of a team’s operational processing and activities. * Escalate breaches of policies / procedure appropriately. * Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. * Advise and influence decision ma
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