Analytics Director

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 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.

Director Expectations

  • To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide..
  • They manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business. Or for an individual contributor, they lead organisation wide projects and act as deep technical expert and thought leader, identifying new ways of working and collaborating cross functionally. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
  • Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
  • Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
  • Escalates breaches of policies / procedure appropriately.
  • Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.
  • Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.
  • Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.
  • Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives.
  • Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations.
  • Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area.
  • Negotiate with and influence stakeholders at a senior level both internally and externally.
  • Act as principal contact point for key clients and counterparts in other functions/ businesses divisions.
  • Mandated as a spokesperson for the function and business division.

All Senior 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.

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.

Person Specification

  • Lead and direct a team and stand-up, direct and lead PODs (virtual) teams to deliver the annual objectives for the business and team, through the use of advanced analytics.
  • Develop, mentor and coach individual team members, sharing knowledge, growing the team, and ensuring strong succession plans are in place
  • Encourage empowerment, responsibility, and collegiality throughout the team
  • Become a destination for talent: branding, community & academic partnerships
  • Conform to Barclays management processes and procedures
  • Play a key role in project prioritisation and planning across your team
  • Be a key partner to the business, an advocate for analytics and seen as an expert by the business in your field

Essential Skills/Basic Qualifications:

  • Extensive experience driving commercial value and impact across financial or non-financial business sectors and industries, in addition to also having very strong experience of financial services products
  • Comprehensive understanding of creating and deploying analytical outputs e.g., ML models and Data Assets
  • Understanding of best-in-class visualisation tools and how these can be best leverage to derive insights
  • Experience of building and leading teams of technical analysts in a global, matrix environment across multiple locations
  • Strong interpersonal, verbal, and written communication skills, and can clearly articulate complex concepts and ideas
  • Ability to set the direction and deliver on a vision with forward planning to achieve results
  • Technical knowledge of big data platforms (e.g., Hadoop and Hive) as well as knowledge of ML, Data science and advanced modelling techniques, technologies, and programming languages
  • Possess a high degree of self-motivation, the ability to drive for results, and track record of setting and achieving goals and meeting schedules
  • Project management experience

Desirable skills/Preferred Qualifications:

  • Experience of working in a large corporate organisation ideally in the Financial Services industry
  • Knowledge of Barclays internal systems and technology infrastructure, or knowledge of data warehouse environments and practises
  • Experience in any of the following analytical areas: Targeting or Segmentation, Pricing, Remediation, Securitisation, or Affordability.

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

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Tags: Big Data Data quality Data warehouse Hadoop Machine Learning ML models

Region: Asia/Pacific
Country: India

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