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The AHL Investment and Data Implementation (IDI) team is organised into small cross-functional teams, spanning Hong Kong and London, with responsibilities for the implementation of all AHL new business (Funds, Investment strategies, new asset classes, new markets, etc.), the integrity of the inputs (data) and outputs (model signals) from the systematic models and long-term strategic development of our systematic trading platforms and processes.
IDI work closely with Portfolio Managers, Research, Trading, Technology, Risk, and external counterparts to ensure the smooth running of the end-to-end trading process, testing and implementation of portfolio research changes across a variety of research and strategic platform initiatives.
To achieve this efficiently and effectively, IDI leverages both the varied background of its members, including Computer Science, Mathematics, Natural Sciences, Engineering, Business Management and Finance, plus a combination of an extensive relationship network spanning across all of Man Group (Not just within AHL), empirical analysis, Technology (namely Python and SQL), creativity, project management skills and critical thinking.
The Role
IDI are seeking a highly motivated individual with strong communication skills, domain knowledge and the ability to steer and influence across all teams and levels of the business. IDI analysts are responsible for the day-to-day management and oversight of the AHL systematic trading system and models, the accurate implementation of all new business initiatives, new research ideas and risk management parameters along with the coordination of an array of stakeholders and projects.
The role offers a high level of exposure across AHL, and the wider Man Group continually presenting opportunities to learn and develop, face new challenges, and reach your full potential.
Key Responsibilities
- Implement change with a consistently high attention to detail and consideration for potential impact
- Detect, diagnosing and resolve issues with AHL trading models and the systematic trading system
- Work with peers across AHL to define and deliver towards resilient operating models and robust business process
- Use data analytics (Preferably in Python) to visually represent structured and unstructured data related to the trading system
- Design, implement and then support the architecture of our trading environment, including data aggregation, position management, component monitoring and quantitative implementation
- Collaborate with technology teams across Man Group to design and steer strategic developments across various platforms
- Leverage technology to enhance, automate and streamline daily investment management processes
- Support the ongoing drive for integrity of data used by the quantitative research teams and the production trading algorithms
- Monitor and implement regulatory and compliance related restrictions
- Ensure the timely implementation of AHL funds rebalancing, strategy re-allocation and coordinate and implement of new business initiatives
- Develop a thorough understanding of the complex systems and interactions, including the ability to sort through dynamic datasets to analyse key indicators, find potential errors and measure outliers
About you
At AHL we are a meritocracy and strive to hire only the brightest, highest skilled and most passionate individuals.
Essential:
- Ability to simultaneously mange many workstreams, ensuring the timely implementation of all changes required to support a dynamic and fast pasted business
- Dependable decision making under pressure
- Strong verbal and written communication
- Working knowledge of financial markets & asset management related processes
- Ability to analyse and visually represent structured and unstructured data to build and tell a story
Advantageous:
- Experience delivering into or even leading complex projects
- Ability to effectively utilise SQL and an object-oriented language, preferably python
- Proficient in data analytics techniques and its relevant libraries e.g. NumPy/SciPy/Pandas
Personal Attributes
- Strong academic record and a degree with high mathematical and analytical content
- Intellectually robust with a keenly analytic approach to problem solving
- The ability to distil complex problems down to facilitate timely issue resolution
- Focus on delivering value to the business with relentless efforts to improve process
- Excellent attention to detail
- Good communication skills and a collaborative personality
