America asia innovations, Ltd.

Responsibilities:
• Develop effective techniques and infrastructure.
• You will write code, use the latest machine learning tools, run experiments, and develop techniques and processes to improve our understanding of financial data
• Partner with teams across the company to implement your ideas into products

Qualifications:
• Advanced degree in Computer Science, Engineering, or other STEM field
• Excellent programming skills in Python, C++, Tensorflow, PyTorch or similar languages
• Work experience with general machine learning, deep learning, and/or reinforcement learning
• Experience with applying machine learning techniques to large amounts of noisy data
• Relevant research experience (publications at NeurIPS, ICML, ICLR or similar are preferred)
• Experience with cloud environments and multi-machine setups
• Participation in open source community preferred

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Responsibilities:
• Partner with senior leaders across the organization as the primary Marketing partner
• Develop and execute strategic marketing plans
• Manage digital ecosystems, including web, social and other crowd/third party platforms, elevating awareness and engagement across our audiences
• Build breakthrough positioning, brand identity, messaging and campaigns, ensuring strategic connection to corporate vision
• Drive engagement through events, conferences and paid sponsorships
• Produce memorable, innovative events with content that sticks to deliver against our promise of technology leadership
• Lead agency relationships across creative, digital, experiential - guiding our partners in the creation of new brand experiences
• Develop subject expertise across technology, data science and financial services

Qualifications:
• Several years of experience with a demonstrated track record of delivering successful marketing strategies and business results
• BA/BS degree
• Demonstrated history of managing agency relationships and producing impressive work
• Experience engaging directly with senior leadership and/or C-suite
• Strong project management and experience with building brands and managing multi-channel campaigns
• Experience in a highly regulated environment a plus, but not required

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Responsibilities:
• Apply statistical analysis & modeling techniques with financial intuition to data sets large and small; advance existing initiatives and launch opportunities to pursue new and previously unexplored research topics across a wide variety of industries and domains
• Operate and extend the data science platform to deliver production-grade data curation and analysis services
• Own end-to-end data workflows and develop deep domain expertise on the underlying actors and behaviors manifested through data
• Visualize and explore data sets to enable the ideation and generation of new, predictive features

Qualifications:
• Several years of experience in data analysis or similar role
• Advanced degree in Computer Science is preferred
• Experience applying statistical methods (distribution analysis, classification, clustering, etc.)
• Strong coding skills with data-frames are a prerequisite, example platforms include Pandas, R, Matlab, and Apache Spark

• Experience highlighting innovation, creativity, and intuition, e.g the ability to laterally identify other sources of useful information and think 'outside the box'
• Prior Experience in finance is not required

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Responsibilities:
• Work very closely with, and provide solutions for our researchers
• Design, engineer and implement software-based trading analytics
• Engineer large-scale, real-time, and distributed quantitative software applications
• Engineer high-performance, multi-threaded quantitative software applications using several programming languages including Java, C++, Python, Scala and Spark, all in Linux with industry-standard toolchains

Qualifications:
• Professional experience as a software engineer.
• BA in computer science or an equivalent software engineering field
• Professional experience in a production environment in an object oriented or functional language, preferably Java or Python.
• Experience and knowledge with declarative, single-assignment, directed-acyclic-graph parallel programming models similar to Apache Spark.

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Responsibilities:
• Designing and implementing strategic trading algorithms;
• Building the tools and engines that help us to understand and explain the underlying data
• Researching trading data and market data for features and insights
• Providing research guidance and mentorship at both the process and technical level

Qualifications:

• Relevant experience in hands-on large scale software development and enterprise architecture
• Experience with Java (or other VM languages), Python, C or C++
• Extensive experience designing and developing in-house software solutions
• Deep knowledge of technology solutions in one or more of the following functional areas is highly desirable: funding, cash management, trading operations, fund accounting, investor accounting, corporate accounting, and regulatory reporting
• BS or MS in Computer Science
• Understanding of data structures and algorithms

Apply