Associate Data Analyst

Key Responsibilities

Develop automated investment tools designed to improve analyst/PM productivity. for example, automated relative valuation charts for a set of bonds

Collate, compile, mine and present a broad range of data for internal purposes, primarily focussed on investment management process inputs. Create effective but user-friendly visual depictions for the same

Create bespoke investment screens and dashboards using internal and external data sources, and prepare periodic reports based on them. These will typically capture fundamental, valuation and technicals.

Maintain and produce charts and packs for the Equities core portfolio

Attending team discussions on trade ideas and trade tracking

Other data management tasks, as needed

Experience and Qualifications Required

 Graduate / post-graduate in a quantitative discipline (Engineering, Mathematics, Statistics, etc.)

2-5 years prior experience in a data management role, preferably in the financial domain.

Advanced knowledge of Excel with proficiency in VBA Macro programming is a must.

Proficiency in Python programming is a must; exposure to data visualization tools in Python is an added plus.

Exposure to SQL or other database query tools would an added plus.

Exposure to visualization tools such as PowerBI, Tableau, etc would be an added plus.

Desired Qualities:

Strong analytical and numerical skills

Strong coding skills

Strong Excel skills, including VBA, charting and macro writing, with ability to handle a large amount of structured and unstructured data

Meticulous attention to detail

Passion for markets

Familiarity with financial data and capital markets terminology, with competence with some financial database such as Bloomberg, FactSet, Datastream, etc

Effective oral and written communication skills

Strong team player