VP - Head of Valuations

Barclays•New York, NY

2d•$170,000 - $200,000•Remote

About The Position

The purpose of the role is to enable data-driven strategic and operational decision-making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports. This includes investigating and analysing data issues, designing and building data pipelines, applying advanced analytical techniques, developing validated logical data models, and translating insights into actionable business recommendations. The role also involves creating interactive dashboards and visual reports, and automating reporting processes.

Requirements

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
Documenting data sources, methodologies, and quality findings with recommendations for improvement.
Designing and building data pipelines to automate data movement and processing.
Apply advanced analytical techniques to large datasets to uncover trends and correlations.
Develop validated logical data models.
Translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.
Contribute or set strategy, drive requirements and make recommendations for change.
Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.
If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes.
They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.
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 will be a subject matter expert within own discipline and will guide technical direction.
They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.
Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
Manage and mitigate risks through assessment, in support of the control and governance agenda.
Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives.
In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
Adopt and include the outcomes of extensive research in problem solving processes.
Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right.
They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Nice To Haves

May telecommute.
Remote work anywhere in the United States is permitted.

Responsibilities

Lead high impact data science projects from concept to deployment, leveraging advanced business analysis and modeling methodologies delivering broad impact across Barclay’s US bank customer segments.
Serve as a key contributor in data aggregation, monitoring, reporting, and financial valuation to support strategic decision-making.
Design and implement customer cash flow valuation models and automated forecasting solutions using statistical, machine learning/AI and financial modeling techniques to inform growth strategies, marketing investment decisions, customer level profitability and enable personalization across partners and channels.
Drive strategic decisions in product profitability, data modeling, and risk exposure by applying a deep understanding of business objectives, regulatory frameworks, and compliance requirements.
Conduct in-depth analysis using historical performance data to evaluate current strategies and shape future initiatives.
Leverage trend analysis, segmentation, and scenario modeling to identify opportunities and mitigate risk.
Collaborate with senior leaders and partners across Finance, Marketing, Risk, and Analytics for accurate and reliable assessment of profitability projects.
Provide technical and business leadership for acquisition investment optimization for Credit & Data Analytics (CDA) through data science.
Participate in overall project design, provide technical direction on key data science infrastructure decisions involving analytical toolkit, big data platform and cloud computing and delivery with QA other functional teams and end-clients.
Lead the development of executive dashboards that provide real-time visibility into account level and portfolio-level profitability.
Provide leadership in defining model needs, model design, model development, validation, implementation and monitoring of valuation models.
Work closely with the technical disciplines of IVU, Model governance to ensure latest modeling methodologies are incorporated and to provide efficient documentation around the processes to ensure smooth auditability and controls.
Produce robust documentation to ensure replicability of results and fulfill Barclays governance requirements.
Supervise and directly manage the work of 1 AVP Credit Strategy, Valuations Airlines Valuation AVP, and Valuation Analyst, fostering a culture of analytical excellence, continuous learning, and collaboration.
Provide guidance on technical development, business acumen, and stakeholder communication.