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 contemporary 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
📌 Executive - Data Scientist (Gurugram)
🏢 Macquarie Group
📍 Gurugram
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