AVP - Fraud Analytics

Barclays UK; Northampton; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking organization as a Risk Manager, where you'll leverage your analytical skills to drive innovation and improve operational efficiency. In this dynamic role, you'll be responsible for analyzing large datasets, developing predictive models, and collaborating with stakeholders to mitigate risks. Your expertise in data analytics and machine learning will be crucial in shaping strategic decisions and enhancing the organization's resilience against financial crime. This is an exciting opportunity to make a significant impact in a collaborative environment that values respect, integrity, and excellence.

Qualifications

• 2+ years of experience in Fraud, Financial Crime, or Risk Management.
• Ability to analyze large datasets using data analytics tools.

Responsibilities

• Extract and analyze data to inform strategic decisions.
• Develop predictive models to identify risks and improve efficiency.

Skills

Data Analysis

Risk and Controls

Change and Transformation

Business Acumen

Strategic Thinking

Digital and Technology

SAS

SQL

Python

R

Java

Education

Degree in Statistics

Degree in Mathematics

Degree in Operational Research

Tools

SAS

SQL

Python

R

Java

Job description

Join us as a Risk Manager at Barclays

In this dynamic position, you'll play a pivotal role in shaping the future of our organization. You’ll be at the forefront of identifying gaps and trends, monitoring these accordingly, with the aim of detecting mules to reduce customer impact.

You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.

Essential criteria:

• Ability to extract, analyze, and make decisions on large data sets using SAS, SQL, Python, R, or Java.
• Experience in Fraud, Financial Crime, Credit Risk, Quantitative, Marketing, Predictive Analytics, or Decision Science.
• At least 2 years’ experience in the above areas.

Desirable criteria:

• Degree in Statistics, Mathematics, Operational Research, or a related field, or significant relevant experience.
• Knowledge of Fraud or Financial Crime Risk systems and controls and their operating environments.
• Knowledge of money muling risks and mitigation techniques.

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, informing strategic decisions, improving operational efficiency, and driving innovation.

Accountabilities

• Data collection and extraction from various sources.
• Data cleaning, wrangling, and transformation for analysis.
• Development and maintenance of data pipelines.
• Design and conduct of statistical and machine learning models.
• Development of predictive models to forecast outcomes and identify risks.
• Collaborate with stakeholders to add value through Data Science.

Assistant Vice President Expectations

• Advise decision-making, contribute to policy development, and collaborate across functions.
• Lead a team, set objectives, coach, and appraise performance.
• Demonstrate leadership behaviors: Listen, Energize, Align, Develop.
• For individual contributors, lead assignments and guide team members.
• Consult on complex issues, support risk mitigation, and develop policies.
• Manage risk and controls, collaborate across areas, and communicate complex information effectively.

All colleagues are expected to embody Barclays Values: Respect, Integrity, Service, Excellence, and Stewardship, and demonstrate the Barclays Mindset: Empower, Challenge, Drive.