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Data Manager, Credit

Macquarie Group

London

On-site

GBP 40,000 - 60,000

Full time

3 days ago

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Job summary

A leading global financial services group is looking for a Data Manager, Credit to enhance their data management capabilities. This role focuses on analyzing loan management data, defining data models, and ensuring data quality, all while collaborating with various teams in a supportive environment.

Qualifications

Strong understanding of financial products including private credit.
Strong working knowledge of SQL and data modeling techniques.
Strong analytical skills for deriving insights and making decisions.

Responsibilities

Analyze data from loan management platforms.
Define logical and conceptual data models.
Collaborate with business leaders and data engineers.

Skills

SQL

Data Modelling

Analytical Skills

Financial Products Knowledge

Adaptability

Business Acumen

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Macquarie Asset Management's D3E* (Division made up of Data, Digital, Design and Engineering) team is seeking a Data Product Manager to build Private Credit’s Investment Book of Record on our Google Cloud BigQuery data platform. The Enterprise D3E team is responsible for providing digital solutions to Macquarie Asset Management’s Private Credit and Fund Management teams.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

As a Data Manager, you will be responsible for analysing the data from our loan management platforms, defining logical and conceptual data models, and prototyping data models to meet the needs of consumers. You will collaborate with business domain leaders, end users, and data engineers. You will ensure high-quality data by following our data product lifecycle and embedding high quality documentation and quality checks into our data pipelines. You will advocate for best practices in data security, privacy, and ethical use, and focus on delivering intuitive and actionable data products that meet end-user needs.

What You Offer

Strong understanding of financial products including private credit or other fixed income securities
Strong working knowledge of SQL, databases, and data modelling techniques
Strong analytical skills for deriving insights and making data-driven decisions
Adaptability and willingness to explore new technologies and approaches
Strong business acumen and ability to align data initiatives with business objectives

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

About Macquarie Asset Management

Macquarie Asset Management is a global asset manager that aims to deliver positive impact. We’re trusted by institutions, pension funds, governments, and individuals to manage billions in assets globally. We provide access to specialist investment expertise across a range of capabilities including fixed income, equities, multi-asset solutions, private credit, infrastructure, green investments, natural assets, real estate, and asset finance.

Our commitment to diversity, equity and inclusion

We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.

Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.

Seniority level

Seniority level
Entry level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology

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