About Us
At ANZ, we're shaping a world where people and communities thrive, driven
by a common goal: to improve the financial wellbeing and sustainability
of our customers. Our Institutional bank helps our largest customers move
trade and capital around the region, providing our people with great
opportunities to build their technical expertise and their careers.
About the Role
We are seeking a highly skilled Machine Learning and AI Specialist to
join our Systematic FX Trading team. The ideal candidate will have a
strong background in quantitative finance, data science, and machine
learning, with a passion for developing and implementing innovative
trading strategies. Key responsibilities are focused on driving greater
performance from inherent risk and data and analytics by guiding the
development of alpha generating systematic risk management. The role will
also be responsible for ongoing support to the Director Systematic
Dealing.
Banking is changing and we’re changing with it, giving our people great
opportunities to try new things, learn and grow. Whatever your role at
ANZ, you’ll be building your future, while helping to build ours.
Role Type: Permanent, Full Time
Role Location: Melbourne, Sydney or Singapore
What will your day look like?
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Contribute to the development of the global analytics library and
front office trading application written in KDB/q and Java.
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Working with Technology to adapt and deliver the global models and
applications to local market requirements while retaining the
efficiencies of a systematic digital product offering.
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Designing, developing, reviewing and implementing models in response
to customer needs, and proactively updating the parameters and market
inputs for pricing algorithms and signals across G10 and emerging
market currency pairs.
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Maximise e-trading revenue opportunities across all electronic FX
products as well as precious metals, rates and credit through
optimising existing flow and implementing Alpha based strategies.
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Develop our inhouse trading systems through advanced quantitative
models and methodologies in electronic trading, such as trade
execution, client internalisation, market-making algorithms and AI
models and machine learning Algorithms.
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Responsibility for adjusting and optimising the parameters used in
risk management strategies. Improve our market making and systematic
trading strategies through reinforcement learning and prescriptive
analytics
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Ensure alignment and adherence with Markets dealing and distribution
mandates, suitability frameworks, governance and conduct policies,
processes and standards
What will you bring?
To grow and be successful in this role, you will ideally bring the
following skills and experience:
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Strong experience in quantitative research, extensive knowledge in
systematic trading and financial markets. Sound knowledge of eFX
markets and products – inclusive of technologies to enhance
capabilities. esp Spot, Forwards, NDF’s and Options preferable.
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A technical degree (for example Computer Science, Mathematics,
Engineering, Physics and or similar) and Finance related Qualification
(for example, CFA, Masters Financial Engineering)
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Strong in developing and implementing AI models, trading strategies,
data analysis, back testing and validation, signal processing,
performance monitoring, research and innovation.
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Experience in dealing with supervised and unsupervised learning
techniques through leveraging internal and external data to drive client
engagement and profitability. Negotiating with stakeholders at all
seniority levels to implement new concepts and frameworks.
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Excellent Analytical skills with an understanding and capability of
low latent programming languages and operating systems - C++, Java, Q,
R and python. Familiarity with MLOps and software development best
practices and Algorithm implementation.
So why join us?
From the moment you join ANZ, you'll be doing meaningful work that will
shape a world where people and communities thrive.
But it's not just our customers who'll feel your impact. you'll feel it
too. Because at ANZ, you'll have the resources, opportunities, and
support you need to take the next big step in your career.
We're a diverse bunch at ANZ in different roles, different locations,
doing different things. That's why we have a range of flexible working
arrangements, so our people can 'make work, work for them'. We also
provide a range of benefits including access to health and wellbeing
services and discounts on selected products and services from ANZ and
more.
At ANZ, you'll be part of an organisation where the different
backgrounds, perspectives and life experiences of our people are
celebrated. That's because we're committed to building a workplace that
reflects the diversity of the communities we serve. We welcome
applications from everyone and encourage you to talk to us about any
adjustments you may require to our recruitment process or the role
itself. If you are a candidate with a disability or access requirement,
let us know how we can provide you with additional support.
To find out more about working at ANZ, visit
https://www.anz.com.au/careers.
You can apply for this role by visiting ANZ Careers and searching for
reference number 88964.
Job Posting End Date
16/03/2025 , 11.59pm, (Melbourne Australia)