Risk Analytics – Analyst Job Openings in Noida 2026!!!
Barclays announced job vacancy for the post of Risk Analytics – Analyst.The place of posting will be at Noida. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | Barclays |
| Required Qualifications | Graduate |
| Skills | Tableau / Power BI |
| Category | Data & Analytics |
| Work Type | Onsite |
A career in Data & Analytics at Barclays is a hub for top talent, from beginners to experts, fostering innovation and excellence. You’ll drive business strategy, leverage data potential, and enhance the experience of millions of customers in today’s data-driven world. Join us as a Data Analyst in ORRO Automation and Data Analytics team, responsible to design, develop and maintain business applications and solutions for ORRO (Operational Risk and Risk Oversight) function within the Risk department
Job Details
Θ Positions: Risk Analytics – Analyst
Θ Job Location: Noida
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: JR-0000085807
Roles and Responsibilities:
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.
Accountabilities
- 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, and 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.
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.
Required Skills & Qualifications:
- Experience in risk management / control assurance.
- Ability to identify and learn emerging data analytics technologies and utilise them to deliver practical business solutions.
- Ability to perform complex quantitative analysis and translate results into meaningful business insights.
- Experience in / knowledge of automation tools and techniques such as Web Apps based on Python, Power Apps and Power Automate.
- Experience in / knowledge in data analytics and business intelligence (BI) platforms – Tableau / Power BI.
- Mandatory knowledge of SQL and Python Programming languages.
- Experience of working on at least one complete Data Analytics project. End to End life cycle from Investigation to productionizing the solution.
Some other highly valued skills include:
- Extensive knowledge of Gitlab and cloud concepts (code deployment).
- Development and execution of data extraction strategies to gather relevant data from various sources, including internal systems, external databases, and third-party vendors.
- Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
- Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
- Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.
- Experience in training end users on data analysis technologies.
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The information provided on this page is intended solely for informational purposes for Students, Freshers & Experience candidates. All the recruitment details are sourced directly from the official website and pages of the respective company. Latest MNC Jobs do not guarantee job placement, and the recruitment process will follow the company’s official rules and Human Resource guidelines. Latest MNC Jobs do not charge any fees for sharing job information. Latest MNC Jobs strongly advise Students, Freshers & Experience candidates not to make any payments for any job opportunities.
