Analytics Specialist

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Analytics Specialist

Financial Crime and Fraud

Locations are either New Plymouth, Auckland or Wellington

Permanent, Full time 40 hours per week

At TSB, you'll be part of a profit for purpose organisation, that empowers and enables you to be your best and make a positive difference for the people you work with, and the communities you are part of.

As part of this journey, we're building a more resilient and intelligence-led approach to fighting financial crime.

We're investing in dedicated analytics capability to help us detect, prevent, and respond to AML / CFT and financial crime with speed and precision.

If you're passionate about directly contributing to protecting our customers and community then this could be the role for you.

About the role

The Analytics Specialist at TSB will use data to drive strategic decisions and improve performance.

The role will play a critical role in shaping how TSB detects and responds to emerging threats.

You'll use analytics and domain insights to :

Proactively surface fraud and AML red flags and trends.

Improve the effectiveness of our transaction monitoring and detection systems.

Build predictive models and tools to help prioritise risk and interventions.

Drive data-informed enhancements to customer protection strategies.

This is a high-impact, high-visibility role at the heart of a fast-evolving priority area.

Who are you?

You're a data-driven problem solver with an eye for patterns, anomalies, and continuous improvement opportunities.

Key responsibilities that you will be required to deliver is to analyse data, develop predictive models to detect AML / CFT, ensure compliance, and enhance customer experience.

To enable you to be successful, you will require proficiency in programming languages like SQL and Python, with machine learning expertise being an advantage.

You will need to know your way around complex datasets and can tell compelling, actionable stories with numbers.

This will require strong analytical, judgment, and problem-solving skills.

The ability to work effectively in a cross-functional team environment is important, and you will have the skill to articulate complex concepts to non-technical stakeholders.

In this role, you can expect to :

Engage with business users to understand their challenges and approaches.

Use analytical solutions to support decision-making.

Build and test predictive or prescriptive models to support to extract maximum value from data.

Diagnose root causes of issues and recommending solutions to enhance business processes, resulting in increased operational efficiency.

We are looking for candidates who have :

Bachelor's degree in mathematics or related discipline.

Experience in AML / CFT, or financial crime data analysis (preferred)

Minimum 2 years of relevant experience or equivalent combination of education / work.

Experience with at least one data science package and at least one programming language.

Knowledge of BI tools (e.g., Tableau, Power BI).

What's in it for me?

At TSB, we're small enough to really care about our customers but big enough to have great rates, innovative products, and digital solutions.

We are looking for people to help us achieve our goal of being the easiest bank to deal with.

We aim to create remarkable experiences for our people, who in turn create remarkable experiences for our customers.

By working with us, you'll be a part of a profit for purpose organisation.

We're 100% owned by Toi Foundation, a philanthropic trust, and our annual dividends contribute to Toi's transformational impact in our community.

We believe that we all bring something unique to our workplace and when we are encouraged to be ourselves, TSB is stronger for it.

That's why we're committed to supporting your wellbeing, creating space for you to be your best self, both in and out of work, and enabling you to make a meaningful difference in our communities.

If you are ready to get stuck in as part of a collaborative team where you're supported to be your best self....

Apply Now!

Closing date for applications is 5.00 p.m., Sunday 30th November

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