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Executive - Data Scientist

  • Posted 2 hours ago
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Job Description

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.

We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you're empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future.

What role will you play

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

  • Minimum bachelor's degree with strong academic performance, and relevant experience in statistics, engineering, mathematics, computer science or another relevant quantitative discipline;
  • Minimum 2-5 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

Benefits

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

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, market risk, operational risk, aggregate risk and prudential, and central.

Inclusion at Macquarie

We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance.

We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.

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About Company

Job ID: 152591023

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