Assistant Manager Fraud Analytics

Barclays Capital

Dadri

On-site

INR 900,000 - 1,300,000

Full time

3 days ago
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Job summary

Barclays Capital in India is seeking an Assistant Manager Fraud Analytics to lead data quality, extract actionable insights, and support risk decisions. You will implement data quality processes, build reliable data pipelines, and collaborate with stakeholders to improve operations.

Key skills include SQL, SAS, data analytics, and experience with Power BI/Tableau. You will guide a team or act as advisor, ensure regulatory compliance, and contribute to risk governance across credit, market, and

Qualifications

  • Expertise in SQL, SAS, Data Analytics and Reporting.
  • Excellent communication and interpersonal skills to effectively communicate with stakeholders, build relationships, and present findings.
  • Strong analytical skills to interpret complex data quickly and make informed decisions in a fast-paced environment.
  • Proficiency in designing and building data pipelines to automate data movement and processing.
  • Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification

Responsibilities

  • Develop and maintain risk reports (credit, market, operational, liquidity, regulatory).
  • Extract risk data from internal systems, risk models, and external feeds.
  • Analyze risk data to identify trends, patterns, and outliers; assess exposure impacts.
  • Monitor key risk indicators and metrics; identify emerging risks and assess mitigation effectiveness.
  • Develop and implement reporting improvements and automation initiatives.

Skills

SQL
SAS
Data Analytics & Reporting
Communication & Stakeholder Management
Data pipelines
Data quality & governance

Tools

MS Office
Power BI
Tableau
Excel
Visio

Job description

Purpose of the role

To gather, analyse, and present risk data in a clear and concise manner to stakeholders across the organisation, facilitating informed decision-making, risk mitigation, and regulatory compliance.

Accountabilities
  • Development and maintenance of a variety of risk reports, including credit, market, operational, and liquidity risk reports, and regulatory reports.
  • Extraction of risk data from various sources, including internal systems, risk models, and external market data feeds.
  • Analysis of risk data to identify trends, patterns, and outliers, and assess the impact of risk exposures.
  • Monitoring key risk indicators and metrics to identify emerging risks and track the effectiveness of risk mitigation strategies.
  • Development and implementation of risk reporting improvements and automation initiatives.
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 work and 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.

Step into the role of Assistant Manager Fraud Analytics at Barclays, where you'll play a pivotal role in shaping the future. In this role, you will be responsible for implementing data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.

You may be assessed on key critical skills relevant for success in role such as:

  • Expertise in SQL, SAS, Data Analytics and Reporting.
  • Excellent communication and interpersonal skills to effectively communicate with stakeholders, build relationships, and present findings.
  • Strong analytical skills to interpret complex data quickly and make informed decisions in a fast-paced environment.
  • Proficiency in designing and building data pipelines to automate data movement and processing.
  • Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification
Desirable skill set:
  • Effective communication and presentation skills.
  • Experience in Data Privacy, Governance, Reporting and Risk Management preferably in a financial services organisation.
  • Proficient in MS Office - PPT, Excel, Word & Visio. Preferred - Dashboard visualisation, Tableau/ Power BI.
  • Comprehensive understanding of Risk, Governance and Cont
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