At a Glance
- Tasks: Capture requirements and design tech solutions for cutting-edge hedge fund projects.
- Company: Dynamic hedge fund with a focus on innovative technology and collaboration.
- Benefits: Hybrid work model, full benefits, and mentorship from industry veterans.
- Other info: Opportunities for global travel and career advancement within the firm.
- Why this job: Join a team driving high-profile tech initiatives in a fast-paced environment.
- Qualifications: 6+ years in business analysis with a background in data/software engineering.
The predicted salary is between 48000 - 72000 £ per year.
This Multi-Strategy and Diversified Hedge Fund runs Low to Higher Frequency Strategies across global liquid markets, including Equities, FX, Fixed Income, Commodities, and vanilla Derivatives (Futures and Options). They now seek an experienced Technical Business Analyst, with a background as a Data Engineer or Software Developer/Engineer, skilled in both Python and SQL.
Hybrid - 1-2 days WFH. Plus Full Benefits.
Topology of Responsibilities:
- Detailed requirements capture direct from Quant Research, Trading, and Risk teams.
- Full life cycle Business Analysis for Front and Middle office technology projects, with a bias toward the Systematic businesses, including:
- Low Latency Exchange Connectivity
- Client connectivity
- Big Data and ML/DL tech
- Market Data
- OMS (Order Management Systems)
- Structure and scope requirements into technical projects.
- Define the project scope, goals, stakeholders, milestones, dependencies, and risks related to the project.
- Design end-to-end solutions, propose implementation options, provide evaluations and recommendations to make optimal decisions for the firm.
- Drive the product design, including functional and technical architecture.
- To be mentored by elite and personable Hedge Fund industry veterans in a collegiate and collaborative environment.
- Develop a deep X-Asset and Market Microstructures knowledge.
- Work on strategic and high-profile leading edge technologies initiatives.
- Global Travel: Opportunity in future to move internally to NAM or APAC.
Mandatory Skills and Experience required:
- Fluency in English.
- Min. 6 yrs’ experience post completing a Bachelor’s/Master’s in STEM field.
- Min. 4 yrs’ experience in a Business Analysis/Project Manager/Product Manager role delivering Front &/ Middle Office technology projects at a Fund, Prop. Investment Manager, Investment Bank, or FinTech firm.
- Min. 2 yrs’ prior experience as a Data/Software Engineer, Technical Architect, or Quant Developer.
- Experience and current understanding of Agile and Waterfall style approaches.
- Calm, considered, detailed-oriented, and collaborative approach.
- Current understanding of at least 1 (ideally 2) of the following asset classes – Equities, Foreign Exchange, Fixed Income (Bonds/IRD), Credit, Commodities, &/ Derivatives.
Technical Business Analyst / Architect - Greenfield Front Office Technology Projects - Hedge Fund employer: Xcede Group
Join a pioneering Prop trading firm at the forefront of Crypto markets, where innovation meets opportunity. As a Lead Systems Engineer, you'll thrive in a dynamic work culture that values collaboration and creativity, with ample opportunities for professional growth in a rapidly evolving industry. Enjoy the unique advantage of working in a cutting-edge environment that not only embraces technology but also fosters a community of passionate individuals dedicated to redefining market-making and liquidity provision.
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We think this is how you could land Technical Business Analyst / Architect - Greenfield Front Office Technology Projects - Hedge Fund
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We think you need these skills to ace Technical Business Analyst / Architect - Greenfield Front Office Technology Projects - Hedge Fund
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
