Python Data Analytics Software Egineer

Must have skills:

  • Fixed Income Data Analytics development
  • Worked with Quantitative Research teams
  • Sincere desire to code Python, SAS, SQL not Java
  • No PhDs – not going to be the right fit
  • Minimum of 6 years experience



Job Overview:

Asset Manager is seeking an Analytics Developer to join our Investment Technology department in our Data and Analytics group. The Analytics Developer should have financial services experience working within the capital markets data domain, focusing on asset management concepts (portfolio, holdings, trades, securities, etc). Overall strong technology skills are required, but the focus is on analytics and data architecture, not front-end or middle-tier application building.


5+ years of recent experience in the Fixed Income business and technical skills listed below is required. Candidates must have outstanding communications skills as the Developer will interact with the firm’s partners and investment professionals to implement business solutions. The team has a strong partnership with the Investments Quantitative Research department.



Required Business Skills:

  • Ability to communicate (verbal/written) with front office users
  • Knowledge of features and characteristics of different Fixed Income and Equity security types; fixed income is a must
  • Experience with portfolio management and trading data entities and concepts (portfolios, holdings, trades, securities, analytics, benchmarks, etc)
  • Experience in producing portfolio and benchmark comparisons around characteristics and breakdowns
  • Some experience with portfolio returns and attribution
  • Ideal candidate will have recent buy-side experience
  • Experience with at least one specific market data feed provider (Bloomberg, Factset, Axioma, Yieldbook, Barclays POINT, BondEdge, etc.)
  • Bachelors Degree required

Required Technical Skills:

  • Understanding of data set operations and basic concepts of entities and joining them
  • Intermediate database skills (SQL Server, Oracle) including basic table design, creating SQL queries, and using stored procedures/functions
  • Ability to create data designs from use cases and object models during requirements and design phases
  • Experience with at least one scripting language (Perl/Python preferred) used in a data transformation context, e.g. ETL
  • Familiarity with reporting tools and experience with report creation

Personal Characteristics Required:

  • Outstanding communication skills
  • Self starter
  • Team player
  • Fast learner
  • Strong organizational skills
  • “Can Do” attitude
  • A willingness to learn new technologies and tools as required for specific projects

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