Assistant Manager - Data Science - - 18205 - Macquarie Group

We have an exciting opportunity to join our Data Science team supporting surveillance. You will join a team of collaborative and high-performing members focused on delivering advanced analytical solutions and detection models to manage risk.

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?

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In this role, you will play a significant role in the end-to-end ownership of the product in a modern DevOps culture. You will be responsible for NLP model development, MLOps model risk management, and governance in iterative cycles. Your function will require an agile mindset to deliver, and stakeholder management to work with various colleagues and vendors.

What you offer

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* Minimum bachelor’s degree with strong academic performance, and relevant experience in statistics, engineering, mathematics, computer science or another relevant quantitative discipline;

* Minimum 3-6 years’ experience in Model development, python programming & Data Analytics;

* Proficiency with Python, SQL, AWS;

* Experience in Machine Learning specially NLP;

* Prior experience with trading in financial markets and investment funds, their operation and risk management for potential mishandling or manipulation is advantageous.

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.

What we offer

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At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

1 wellbeing leave day per year
26 weeks’ paid maternity leave or 20 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers
Company-subsidised childcare services
2 days of paid volunteer leave and donation matching
Benefits to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover, the option to join parental medical insurance plan and virtual medical consultations extended to family members
Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
Hybrid and flexible working arrangements, dependent on role
Reimbursement for work from home equipment

About the Risk Management Group

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Our Risk Management Group works as an independent, and centralised function, responsible for independent and objective review and challenge, oversight, monitoring and reporting in relation to Macquarie’s material risks. We are a global team that aims to manage the risks of today and anticipate the risks of tomorrow. Our divisions include compliance, credit, financial crime risk, internal audit, market risk, operational risk, aggregate risk and prudential, and central.

Our commitment to diversity, equity and inclusion

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We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, 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 who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

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