
Assistant Manager
7 days ago
**Who are we?
This team is responsible for augmenting the fundamental investment process with quantitative capabilities at each step of the investment lifecycle, spanning across strategy development, alpha construction, and portfolio intelligence. We work directly with the fundamental Equities and Fixed Income investment professionals. The team reports into Quantitative Strategies (QS), a wider group of Quant professionals who also manage systematic investment strategies.
**Who are we looking for?**
As we widen our coverage across more investment teams, this person will play a critical role in planning the investment analytics roadmap, managing the tools’ lifecycle, and raising adoption of the platform.
**Why join us?**
You’ll have a front-row seat to the asset management industry and an opportunity to experience the integration of quantitative and fundamental investing. Join us if you have a passion for data and want to be part of a cross-functional team delivering impact at the meaningful intersection of technology and investing
**What will you be doing?**
- Participate in idea generation and portfolio construction meetings with investment teams and strategists to identify ways in which a quantitative tool would support decision making.
- Design human-centric tools which communicates actionable insights.
- Implement and own these tools, including packaging the various analytics and workflows into a platform-approach for a cohesive experience.
- Be involved end-to-end from the derived data layer to visualization and interactivity.
**What qualifications and skills should you possess for this role?**
- Minimum 3-5 years of working experience in a similar role
- Experience designing and delivering technological tools for investment purposes either in a sellside or buyside firm.
- Proficient with SQL, R and Python programming, as well as data visualization tools e.g. Tableau, PowerBI, R Shiny, Dash
- Relevant experience in portfolio management or portfolio risk and performance analysis - and understand how alpha is generated along the fundamental investment process.
- Experience in data retrieval, analytics and visualization for financial data as well as unstructured datasets - proficient in working with a variety of datasets and aggregating/combining them.
- Familiarity with financial platforms (e.g. Refinitiv, Bloomberg, Axioma) will be a plus
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