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Wise
Wise

Focused on global money transfers.

Internal Audit Analyst at Wise

RoleData Analytics
LevelMid Level
LocationSingapore
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

TEAM:

Compliance & Internal Audit Analytics

ABOUT WISE

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.

More about our mission.

THE ROLE

We are looking for a Data Analyst to join the Internal Audit branch of the Compliance & Internal Audit Analytics team at Wise.

You’ll partner with Internal Audit (IA) to develop and implement the analytics strategy across the function.

Internal Audit serves as an independent 3rd line of defence that oversees and provides an independent assessment and reasonable assurance on the effectiveness of the company’s corporate governance structure + internal controls.

The IA Analytics team supports IA by using analytics to provide more coverage, efficiency and accuracy to audit testing, as well as building innovative tools and using automation to support continuous testing and other IA activities beyond the annual audit plan.

This is an IC2 role. For more information on our Analytics Career Map and levelling structure, click here.

WHAT YOU’LL BE DOING

  • Partnering with stakeholders across the IA function covering all regions, products and domains of the business (including Financial Crime, Ops, Risk, Finance and Technology). You will have a specific focus on APAC focused audits and working with the APAC regional team.

  • Identifying & implementing opportunities to do the most impactful analytics within audits and influencing and upskilling your partners in IA to do the same

  • Working with analytics, engineering, and business specialists to seek out and understand interesting and varied datasets, perform analytics using modern approaches, and develop a strong understanding of operations at Wise.

  • Championing innovation and data-led insights, not just within audits but across all IA activities where analytics can add value

  • Working on automation and tooling projects to increase efficiency across IA including workflow automation, continuous auditing, leveraging AI, and building MI dashboards.

WHAT YOU’LL BRING

  • 3+ years of experience in data analytics

  • 1+ years of data analytics experience within an audit, risk, or compliance related role

  • Experience of working in fintech or broader financial services industries

  • Advanced stakeholder management skills; you know how to leverage multiple different teams to deliver high-impact change including analytics, engineering, and business specialists

  • Extensive experience using SQL; you can build and maintain complex data sources and can leverage visualisation tools to surface insights

NICE TO HAVE BUT NOT ESSENTIAL

  • Experience using dbt, Superset, and / or Lightdash

  • Knowledge of advanced analytics techniques, including the use of Python and visualisation techniques.

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.

Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about

[our mission](https: //wise.jobs/our-mission) and

[what we offer](https: //wise.jobs/what-we-offer).

Required skills

Data analysis

Audit analytics

Automation

Stakeholder management

Reporting

Continuous testing

Process improvement

Risk awareness

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About Wise

Wise

Wise

Public

WISE inspires girls and women to study and build careers in science, technology, engineering and manufacturing.

1-50

Employees

Bradford

Headquarters

$8.0B

Valuation

Reviews

10 reviews

3.8

10 reviews

Work-life balance

3.2

Compensation

4.0

Culture

4.1

Career

3.5

Management

3.7

72%

Recommend to a friend

Pros

Flexible work hours and remote options

Supportive and approachable management

Collaborative environment and teamwork

Cons

High workload and unpredictable demands

Communication issues and lack of direction

Stressful and overwhelming work environment

Salary Ranges

117 data points

Mid/L4

Senior/L5

Mid/L4 · Product Application Analyst

1 reports

$87,400

total per year

Base

$76,000

Stock

-

Bonus

-

$87,400

$87,400

Interview experience

4 interviews

Difficulty

2.3

/ 5

Duration

14-28 weeks

Offer rate

50%

Experience

Positive 25%

Neutral 25%

Negative 50%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Interview Round

4

Technical/Role-specific Interview

5

Final Interview

6

Offer Decision

Common questions

Technical Knowledge

Past Experience

Behavioral/STAR

Role-specific Skills

Problem Solving