Company Description:
As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals, and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients’ most valued asset-management partner.
Group Description:
Investments services technology team is known for developing cutting edge solutions keeping quantitative and systematic approach at the center.
Specific Responsibilities:
• Collaborate with the Multi-Asset Portfolio Solutions Technology team to ensure data quality controls for quantitative research.
• Innovate and implement alternative methods for data transformation and cleansing for various data sources.
• Correlate data, identify exceptions, and construct refined datasets for research and investment processes.
• Develop and enhance quantitative data quality frameworks using statistical techniques.
• Develop python solutions to analyze the correlation between model inputs and outputs in order to measure the quality of its signals.
• Create and optimize SQL queries, including performance tuning.
• Develop new test cases to perform quality control based on various investment and risk parameters, enhancing the robustness of existing frameworks.
What makes this role unique or interesting (if applicable)?
The role offers a unique blend of business and technology exposure to the candidate and the ability to execute the activities with end-to-end ownership
Qualifications, Experience, Education:
• Strong understanding of Security Reference Data, Market Data, and Market Risk measures.
• A grasp of Financial Theory, portfolio management concepts, and various financial instruments.
• Proficiency in statistics.
• Development skills in Python and SQL.
• Hands-on experience with Bloomberg.
• Strong communication skills, with the ability to articulate business problem statements and developed solutions.
• Exceptional problem-solving skills and attention to detail.
• Demonstrated ability and willingness to quickly learn new technologies and platforms.
• Proactive attitude with the ability to take initiative with minimal supervision.
• Bachelor’s or master’s degree in quantitative discipline like Engineering. Science, Statistics / Mathematics, Econometrics etc.
• Any progress towards CFA / FRM / CQF is preferred
Special Knowledge (if applicable):
The ideal candidate will have a good hands-on python and SQL skills; ability parse complex problem statements and exposure to investment / risk management domain.
Pune, India
