Banking Fraud And Scams Insight Analyst

Barclays Corporate Banking

Gurugram District

Sur place

INR 1 500 000 - 2 200 000

Plein temps

Il y a 8 jours

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Résumé du poste

Barclays is seeking a Banking Fraud & Scams Insight Analyst based in Gurgaon to drive the evolution of our digital product landscape. You will apply data-driven analysis to understand fraud journeys, map customer experiences, and collaborate with cross-functional teams to shape product strategy and delivery.

Candidate should command strong SQL, SAS, Python, and Excel skills, along with experience in Jira and Agile environments, to support MI reporting and strategic decision-making in a

Qualifications

  • Strong knowledge of end-to-end fraud and scam journeys across banking products.
  • Experience translating customer, business, and operational requirements into product solutions with data-driven decisions.
  • Proven experience in Agile delivery environments with Jira backlog management.
  • Ability to collaborate with cross-functional stakeholders across Business, Technology, Operations, Risk and Control functions.

Responsabilités

  • Define Product Strategy aligned with business vision and growth.
  • Lead cross-functional alignment with marketing, engineering, operations and sales.
  • Oversee product risk management and control alignment.
  • Own product development lifecycle from concept to launch; drive change objectives.
  • Deliver objectives and key outcomes aligned to financial targets and strategic vision.

Connaissances

Fraud knowledge
Journey mapping
Agile delivery
Data analysis
SQL
SAS
Python
Hadoop
Excel
MI reporting
Stakeholder mgmt
Cross-functional
Communication
Leadership support

Outils

Jira
Visio
Figma
Excel

Description du poste

Job Description:

Job Description

Purpose of the role

Product Managers are responsible for the leading the strategic focus of the product(s), defining the product vision, market strategy, and competitive analysis. They think about the product's future and how it will evolve over time. They work with various teams, including marketing, engineering, operations, and sales, to ensure everyone is aligned on the product strategy. They use data and market research to inform their decisions and prioritize product features.

Accountabilities

  • Define Product Strategy: Accountable for defining a product strategy that aligns with business vision, managing capabilities, balancing short-term with long-term goals, ensuring that products meet market demands and drive growth.
  • Cross functional alignment: Leadership of cross functional relationships, working with various cross-functional teams to ensure alignment of product strategy and goals.
  • Risk and Control: Accountable for overseeing product risk management, including identification of potential risks, development of strategies to mitigate those risks, and maintenance of alignment between the product management and control functions.
  • Product Development Lifecycle: Own product development lifecycle, from concept to launch, ensuring efficient processes, on-time delivery, and alignment with E2E customer expectations and experience. – working with product owners to drive change objectives.
  • Deliver Product Goals and Performance: Deliver clear objectives and key outcomes to steer the product vision and ensure alignment with company’s business goals, financial targets, and strategic vision, driving long-term business success.
  • Data driven decisions: Monitor product performance through data-driven analysis and insights, regularly assessing progress against objectives and adjusting the strategies as needed to optimise outcomes and maximise value for both business and customer.
  • Customer-Centric Focus: Drive a customer -first approach across the product vision, ensuring customer insights, feedback, behaviours, and pain points are at the core of the product strategy and decision-making process.
  • Business and financial acumen: Understanding pricing models, costs structures, and ROI to make financially grounded decisions regarding product development.

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 making within own area of expertise.
  • Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your workand areas of responsibility in line with relevant rules, regulation and codes of conduct.
  • Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
  • Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • 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.
  • Guide and persuade team members and communicate complex / sensitive information.
  • Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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.

Join us as a "Banking Fraud & Scams Insight Analyst" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

You may be assessed on the key critical skills relevant for success in role, such as experience with SQL, SAS, Python as well as job‑specific skillsets.

To be successful as a "Banking Fraud & Scams Insight Analyst", you should have experience with:

Basic/ Essential Qualifications:

  • Strong understanding of end-to-end Fraud and scam journeys across Banking products.
  • Experience in customer journey mapping, process design, and service blueprinting using relevant journey mapping tools for example Figma, Visio etc.
  • Proven experience working in Agile delivery environments with hands-on use of Jira for backlog management, prioritization, and sprint execution.
  • Strong analytical and problem‑solving skills with experience working on large and complex datasets.
  • Experience translating customer, business, and operational requirements into product solutions and enhancements.
  • Ability to collaborate effectively with cross-functional stakeholders across Business, Technology, Operations, Risk, and Control functions.
  • Expertise in SAS, SQL, Hadoop, Python and Advanced Microsoft Excel
  • Strong SQL capability.
  • Produce and maintain scheduled MI reporting.
  • Deliver insight and analysis to support impact assessments and complex data requirements.
  • Provide guidance and technical support to colleagues developing their own SQL capabilities.
  • Ability to work with MI reporting and analytical outputs.
  • Strong analytical mindset.
  • Communication and stakeholder management skills.
  • Ability to support AVP, VP and the wider Banking & Fraud Strategy team.

Desirable skillsets/ good to have:

  • Fraud and scam knowledge, particularly focused on Non-Plastic transaction types, such as, cash , cheque, International Payments, Faster Payments, Faster Payments.
  • Experience working within a financial institution.
  • Broader fraud domain expertise.

This role will be based out of Gurgaon.

Requirements:

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