Risk Analytics - Analyst

Location: Noida, Candor TechSpace

Time Type: Full time

Job Description

Job Description

Purpose of the role

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.

• 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.

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 with an aim to :

• Build data analytics which improve and enhance operational risk monitoring.

• Automate current processes to achieve efficiency and control improvements.

• Support ORRO leadership in various strategic initiatives and programmes where required.

You will be responsible for leveraging innovative data analytics and machine learning techniques to drive actionable insights from the bank's data assets. You will work closely with key stakeholders across business and technology teams to support data- driven decision-making, enhance operational efficiency, and drive innovation across the organisation. Your role will involve analysing complex datasets, identifying trends, and risk, and translating insights into meaningful recommendations that support strategic objectives and improve overall business performance. 

To be successful in this role, you should have:

Essential Qualifications / Skills :

• 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.

You may be assessed on the key critical skills relevant for success in role, such as knowledge of SQL and Python Programming languages, Tableau/ PowerBI , knowledge of Gitlab, cloud concepts (code deployment).

This role is based in Noida.​