Fraud Commercial Analyst

South Western Railway; Southampton; On-site; GBP 30,000 - 45,000; Full time

Job summary

A rail transport company in Southampton is seeking a Fraud Commercial Insight Analyst to support fraud prevention efforts. The role involves analyzing various data sources, conducting reviews of suspicious activities, and reporting findings to stakeholders. Ideal candidates will have knowledge of loss prevention, strong analytical skills, and proficiency in Excel and BI tools. A competitive salary and benefits including travel perks are offered. This role requires resilience in a pressured environment and aims to foster an inclusive workplace.

Benefits

Free duty and leisure travel

75% discount on other train companies

Excellent pension scheme

Qualifications

• Working knowledge of loss prevention methods and relevant laws.
• Experience in a crime detection or analysis role in revenue protection.
• High level of literacy in using complex data systems.

Responsibilities

• Conduct unbiased reviews of reports for suspicious activities.
• Analyze data from various sources to detect fraud.
• Produce intelligence reports and task investigators.

Skills

Loss prevention knowledge

Crime detection experience

Excellent communication skills

Attention to detail

Excel for modelling

Data translation skills

Education

Numerical or scientific degree

A-levels or equivalent

Tools

Power BI

Tableau

Job description

Who are we?

South Western Railway (SWR) operates over 1,500 services each weekday across the network and employs more than 5,000 people. We provide easy and convenient mobility, connecting people and communities in South West London, southern counties of England, and the Isle of Wight.

Join our team and help us continue to bring people together to get the most out of life.

About the job

The Fraud Commercial Insight Analyst will support the Revenue Protection work to reduce fraudulent travel through various means such as short ticketing, misuse of tickets, and railcard fraud. The role will have access to multiple data sources and will be the main requisitioner of data from ticket suppliers with whom we have data sharing agreements. The role will be integral in the investigation of potentially fraudulent activity across the network, leading to the successful reduction in that activity and an improvement in Revenue at Risk. This is a key support role in fulfilling SWR's purpose as by interpreting business data needs and returning rich and user‑friendly data and reports it will enable the rest of the business to operate faster and smarter when working on initiatives to bring people together to get the most out of life.

Your main responsibilities will be:

• Conduct objective, fair, thorough, unbiased, and timely reviews of reports from frontline colleagues to determine if there are any suspicious activities.
• Undertake analysis of data from various sources to detect suspicious activity.
• Produce intelligence reports, and task Fraud Investigators to undertake further enquires.
• Write deployment plans for a team of frontline RPA to be deployed across the network to tackle specific issues of fraudulent travel.
• Be the subject matter expert in the analysis of various fraud types.
• Support the Fraud Manager in reporting results of Short Ticketing investigation activities for periodic and quarterly reporting to stakeholders.
• Support the Fraud Manager in developing a high standard of analytics, using a range of different tools.

You’ll need to be:

• To have a working knowledge of loss prevention or revenue protection methods, and relevant laws and legal procedures.
• To have experience working in a crime detection or analysis role, either in revenue protection, policing, or associated fields.
• Excellent communication skills both written and verbal.
• Have a high level of attention for detail and be highly literate in using complex data systems.
• Be resilient and able to cope in a pressured environment.
• Expert user of Excel for modelling and analysis essential, experience using BI Tools, eg Power BI (preferred) or Tableau.
• Skilled in translating complex data into easy to understand and relevant management information.

Desirable

• Knowledge of relevant rail commercial systems (e.g. Lennon, MOIRA) desirable.
• Numerical or scientific degree and A-levels or equivalent.

Working pattern

Working an average of 37 hours per week over 5 days.

Monday to Friday, Office hours, Flexibility required.

The Reward

In return we offer a competitive salary and a variety of valuable benefits, including:

• Free duty and leisure travel on SWR services for employees.
• Free leisure travel for spouse/partner and dependants (criteria dependent).
• 75% discount on many other train operating companies.
• Full training and support with development.
• Excellent pension scheme.

We all belong at SWR.

Our vision is to provide an inclusive environment for all colleagues, ensuring all candidates have an equal opportunity to access meaningful employment.

We value our differences such as age, gender, LGBTQIA+, ethnicity, religion, and disability. We maintain a zero tolerance towards any form of prejudice towards our colleagues, customers, and future talent.

We celebrate and encourage diversity of thought, progressive ways of working and seeing all our colleagues grow and thrive.

If you require additional support to complete your application due to a disability or neurodivergent condition, for example, dyslexia, dyspraxia, or autism, please follow the links below. We encourage you to share any additional needs you may require so we can provide a fair and equal process for all who apply.

https://exceptionalindividuals.com/neurodiversity/

https://www.healthassured.org/blog/neurodiversity/