VP Model Developer

Candor TechSpace, Noida, India

Barclays

Barclays is a British universal bank. Our businesses include consumer banking, as well as a top-tier, global corporate and investment bank.

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Job Description

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Accountabilities

  • Design analytics and modelling solutions to complex business problems using domain expertise.
  • Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
  • Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
  • Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
  • Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
  • Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
  • Ensure all development activities are undertaken within the defined control environment.

Vice President Expectations

  • To 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.

Embark on your transformative journey as a Vice President in the Quantitative Analytics (QA) Financial Modelling team at Barclays. In this role, you will shape the direction of our financial modelling automation, ensuring our technological approaches are both innovative and relevant. As part of the Quantitative Analytics team, your expertise will directly influence the performance and reliability of our financial and stress testing models. With a focus on automation scalability, security, and performance, you will work closely with model owners and other teams.

To be successful Vice president Model Developer, you should have experience with:

  • Programming and Software Design: Proficiency in Python is crucial, along with a good understanding of Model Execution Framework, GIT, TCP, and DevOps tools.
  • Quantitative Model Development: Strong experience in developing or validating quantitative models, particularly in Econometric/Quantitative models, Time-series forecasting models, Recovery and Resolution Plan models, ALM (Asset Liability Management), and IRRBB (Interest Rate Risk in the Banking Book) models.
  • Model Implementation: Ability to implement models in Python and incorporate them into a Model Execution Framework that coordinates model interactions from various model suites Mathematics and Statistics: A deep understanding of mathematics and statistics, data science, and modelling techniques is essential.
  • Analytical Thinking and Problem Solving: Strong analytical thinking and problem-solving skills are required to efficiently identify and deliver timely, effective, and comprehensive solutions End-to-End Model Lifecycle and Model Risk Management: Knowledge of the entire model lifecycle and model risk management is important.
  • Technical Communication: Proficiency in verbal and written technical communication to effectively convey complex technical concepts to diverse audiences

Additional relevant skills include:

  • The position demands strong collaboration skills with both executives and cross-functional teams, as well as the capability to communicate technical and business concepts to diverse audiences.

You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills.

This role is for Noida Location

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Banking DevOps Git Machine Learning Mathematics ML models Python Research Security Statistics Testing

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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