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Senior Associate Consultant (Business Analyst – Fraud and Scam)

Infosys BPM limited
Sydney, NSW
A$120,000-$130,000 p/a + super + bonus
Banking & Financial Services → Analysis & Reporting
Contract
Hybrid

Posted 16 days ago


ABOUT US

Infosys BPM (www.infosysbpm.com), the business process outsourcing subsidiary of Infosys, was set up in April 2002. Infosys BPM focuses on integrated end-to-end outsourcing and delivers transformational benefits to its clients through reduced costs, ongoing productivity improvements, and process re-engineering. Infosys BPM operates in India, Poland, the Czech Republic, the Netherlands, Ireland, South Africa, Brazil, Mexico, Costa Rica, the United States, Puerto Rico, China, the Philippines, Singapore, and Australia.

Infosys BPM has been consistently ranked among the leading BPM companies and has received multiple awards and recognition from key industry bodies and associations. Infosys BPM also has very robust people practices, as substantiated by the various HR-specific awards it has won over the years. The company has consistently been ranked among the top employers of choice, on the basis of its industry-leading HR best practices. The company’s senior leaders contribute widely to industry forums as BPM strategists.

Role: - Senior Associate Consultant (Business Analyst – Fraud and Scam)

Location: - Sydney

Status – 1 Year fixed term, extendable based on project requirement

NOTE - Only applicants with Australia full work right, i.e., holding a valid visa will be considered for the role.


JOB DESCRIPTION: -

Key Responsibilities

• Collect and provide data requirements for extensive data or reporting projects.
• Assist in writing and executing User Acceptance Testing (UAT) and Business Verification Testing (BVT) for data use cases using SQL and/or Python.
• Serve as a trusted advisor and Subject Matter Expert (SME) in eliciting technical requirements for data, technology, or reporting projects.
• Work closely with high-priority data and technology deliverables across the FC portfolio to support accelerated delivery and resolve issues.
• Offer recommendations and solutions to problems based on data analysis.
• Clearly document and communicate data quality issues and their impact on outcomes.

Essentials Skills and Experience

• Skilled in collaborating with operational teams to convert business requirements into data and technology solutions and an experience with fraud prevention, fraud analysis or AML.
• Adept at managing and effectively communicating with a diverse range of stakeholders.
• Capable of swiftly identifying and resolving potential obstacles and issues in the data delivery process to ensure timely results.
Qualification Requirements
• Bachelor’s degree in business, data analytics/ computer science, statistics or related discipline
• Must be able to start immediately.

Infosys BPM is committed to creating a diverse and inclusive working environment. We actively support and encourage people of all backgrounds; gender, age, ethnicity, race, cultural background, disability, religion and sexual orientation to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible.

We provide adjustments including alternate formats to the recruitment process for candidates including individuals with disability. If you require an adjustment to be made during the recruitment process (including alternate formats) or have an enquiry about the support provided, please contact HR Team on 02 8913 5900 or email to [email protected]

Please click on the Apply link below to upload your resume before the closing date.

We reserve the right to withdraw this advertisement prior to the closing date.

We respectfully request agencies not to forward unsolicited resumes unless requested.


About Infosys BPM limited

Sydney, NSW, Australia

This company does not have any further information provided at this time. We encourage you to research the company by searching for them to learn more about the company or role in question before applying.

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