Position Details

Our client is an active investment management firm focused on delivering attractive performance and client portfolio solutions. They believe that technology will play a key role in the future of finance, and have built a robust trading platform to handle scale, complexity and customisation.

As Data & Quant Implementation Analyst you will be responsible for the day-to-day management and oversight of the firm’s systematic trading system and models, data integrity, the accurate implementation of all new business initiatives, new research ideas and risk management parameters as well as collaborating with an array of stakeholders and coordination of projects. The role offers a high level of exposure across the Group presenting opportunities to learn and develop, achieve new goals, nurture new relationships, and reach your full potential!

The Investment and Data Implementation team works closely with Portfolio Managers, Quantitative Researchers, Trading, Technology, Risk, Business Management, 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.

Job Responsibilities

  • Accountability for the ongoing drive for data integrity (market & static) used for systematic trading algorithms and by the quantitative research teams
  • Utilise data analytics techniques (preferably in Python) to interrogate and visually represent structured and unstructured data related to investment activity
  • Detect, diagnose and resolve issues with trading models and the systematic trading system
  • Leverage technology to enhance, automate and streamline daily investment management processes
  • Design, implement and support the architecture of the trading environment, including data aggregation, position management, component monitoring and quantitative implementation
  • Collaborate with technology teams across the Group to design, steer and test strategic developments across various platforms

Job Requirements

Must-have

  • 5+ years of relevant work experience in data analytics and/or investment management
  • Ability to effectively utilise SQL and Python, with its relevant libraries (e.g. NumPy/SciPy/Pandas), for data analysis and process automation
  • Ability to simultaneously mange many workstreams and competing priorities
  • Dependable judgement under pressure
  • Strong verbal and written communication
  • Data management experience

Preferred

  • Experience steering or materially delivering into complex projects
  • Ability to draw conclusions and portray findings by studying and visually representing structured and unstructured data
  • Understanding of financial assets, including futures, FX, equities, options & bonds
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More about this position
  • Experience level:
  • Location: Sofia, Bulgaria
  • Employment: Full Time
  • Posted 3 weeks ago
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