Business data analyst
Budget: $2 – $3 USD
Financial industry- Fixed deposit
Responsibilities:
Partner with Investment teams to identify data quality/integrity issues and provide resolution recommendations after performing in-depth analysis
Work closely with agile technology teams to solve complex business problems
Ensure the validity and accuracy of security-level analytics within the portfolio management systems, driving consistency and transparency across regions
Develop and sustain relationships with Portfolio Managers, Risk Managers, Quants and Investment Analysts on a global basis and supporting their ongoing data requirements
Lead, or act as a key member of, project teams comprised of representatives from various operational areas and participate in assessing and testing new systems and upgrades/enhancement Competencies:
Excellent problem-solving and critical-thinking skills; demonstrated ability to employ fact-based decision-making to resolve complex problems, by applying logic, analysis, experience, and business knowledge
Be able to master and support vendor provided applications, ideally Bloomberg PORT
Be a self-starter with ability to build working relationships and work effectively in a global matrixed organization
Make independent/educated judgments regarding appropriate resolutions of data anomalies
Flexible and comfortable with uncertainty in requirements etc. in a fast paced, rapidly changing environment
Must be able to independently troubleshoot functional and/or quantitative problems.
Qualifications:
Strong academic record and a bachelor’s and/or Masters in Finance, Mathematics or Economics are preferred or commensurate relevant work experience
Solid data skills (SQL database queries, Excel/Access file manipulation, etc.) and basic programming knowledge (e.g., VBA, Python, R)
3+ years of functional/demonstrated experience with Fixed Income products, derivatives, and risk/attribution analysis with a vendor and/or an Asset Management firm
3+ years of business systems analysis or experience working with and analyzing data for Front Office
Hands-on knowledge of Fixed Income analytics platforms (i.e., Bloomberg PORT, Yieldbook, Aladdin)
Experience with Scrum processes and project management tools such as Jira are a plus General knowledge/awareness of macro financial markets and more specifically, the buy-side/asset management industry
Responsibilities:
Partner with Investment teams to identify data quality/integrity issues and provide resolution recommendations after performing in-depth analysis
Work closely with agile technology teams to solve complex business problems
Ensure the validity and accuracy of security-level analytics within the portfolio management systems, driving consistency and transparency across regions
Develop and sustain relationships with Portfolio Managers, Risk Managers, Quants and Investment Analysts on a global basis and supporting their ongoing data requirements
Lead, or act as a key member of, project teams comprised of representatives from various operational areas and participate in assessing and testing new systems and upgrades/enhancement Competencies:
Excellent problem-solving and critical-thinking skills; demonstrated ability to employ fact-based decision-making to resolve complex problems, by applying logic, analysis, experience, and business knowledge
Be able to master and support vendor provided applications, ideally Bloomberg PORT
Be a self-starter with ability to build working relationships and work effectively in a global matrixed organization
Make independent/educated judgments regarding appropriate resolutions of data anomalies
Flexible and comfortable with uncertainty in requirements etc. in a fast paced, rapidly changing environment
Must be able to independently troubleshoot functional and/or quantitative problems.
Qualifications:
Strong academic record and a bachelor’s and/or Masters in Finance, Mathematics or Economics are preferred or commensurate relevant work experience
Solid data skills (SQL database queries, Excel/Access file manipulation, etc.) and basic programming knowledge (e.g., VBA, Python, R)
3+ years of functional/demonstrated experience with Fixed Income products, derivatives, and risk/attribution analysis with a vendor and/or an Asset Management firm
3+ years of business systems analysis or experience working with and analyzing data for Front Office
Hands-on knowledge of Fixed Income analytics platforms (i.e., Bloomberg PORT, Yieldbook, Aladdin)
Experience with Scrum processes and project management tools such as Jira are a plus General knowledge/awareness of macro financial markets and more specifically, the buy-side/asset management industry