Data Scientist / Quantitative Researcher

In this role at AB, as a leading global investment management firm, you will be responsible for conducting asset allocation and manager evaluation research, creating bespoke client portfolios, and undertaking bespoke requests for data analysis. Your day-to-day tasks will involve building dashboards for data visualization using Python Dash, handling data collation, cleansing, and analysis with SQL and Python, as well as creating new databases using data from different sources and setting up infrastructure for their maintenance. Additionally, you will clean and manipulate data, build models, and produce automated reports using Python. You will also utilize statistical modeling and Machine Learning to address quantitative problems and deliver top-notch research projects with quantitative applications to fundamental strategies. Key Responsibilities: - Conduct asset allocation and manager evaluation research - Create bespoke client portfolios - Undertake bespoke requests for data analysis - Build dashboards for data visualization using Python Dash - Handle data collation, cleansing, and analysis with SQL and Python - Create new databases using data from different sources and set up infrastructure for their maintenance - Clean and manipulate data, build models, and produce automated reports using Python - Use statistical modeling and Machine Learning to address quantitative problems - Deliver research projects with quantitative applications to fundamental strategies Qualifications Required: - 2 years of experience in RDBMS database design, preferably on MS SQL Server - 2 years of Python development experience with advanced skills in programming using Python libraries such as pandas, numpy, statsmodels, dash, pypfopt, cvxpy, keras, scikit-learn (Must haves: pandas/numpy/statsmodels) - Capable of manipulating large quantities of data with a high level of attention to detail and accuracy - Working experience in building quantitative models, factor research, portfolio construction, and systematic models - Academic qualification in Mathematics, Physics, Statistics, Econometrics, Engineering, or a related field - Understanding of company financial statements, accounting, and risk analysis would be an added advantage - Strong communication skills in English with proven ability to interact with global clients In this role at AB, you will have the opportunity to work with over 4,400 employees across 51 locations in 25 countries. The company fosters a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. If you are ready to challenge your limits and build your future, join us at AB. In this role at AB, as a leading global investment management firm, you will be responsible for conducting asset allocation and manager evaluation research, creating bespoke client portfolios, and undertaking bespoke requests for data analysis. Your day-to-day tasks will involve building dashboards for data visualization using Python Dash, handling data collation, cleansing, and analysis with SQL and Python, as well as creating new databases using data from different sources and setting up infrastructure for their maintenance. Additionally, you will clean and manipulate data, build models, and produce automated reports using Python. You will also utilize statistical modeling and Machine Learning to address quantitative problems and deliver top-notch research projects with quantitative applications to fundamental strategies. Key Responsibilities: - Conduct asset allocation and manager evaluation research - Create bespoke client portfolios - Undertake bespoke requests for data analysis - Build dashboards for data visualization using Python Dash - Handle data collation, cleansing, and analysis with SQL and Python - Create new databases using data from different sources and set up infrastructure for their maintenance - Clean and manipulate data, build models, and produce automated reports using Python - Use statistical modeling and Machine Learning to address quantitative problems - Deliver research projects with quantitative applications to fundamental strategies Qualifications Required: - 2 years of experience in RDBMS database design, preferably on MS SQL Server - 2 years of Python development experience with advanced skills in programming using Python libraries such as pandas, numpy, statsmodels, dash, pypfopt, cvxpy, keras, scikit-learn (Must haves: pandas/numpy/statsmodels) - Capable of manipulating large quantities of data with a high level of attention to detail and accuracy - Working experience in building quantitative models, factor research, portfolio construction, and systematic models - Academic qualification in Mathematics, Physics, Statistics, Econometrics, Engineering, or a related field - Understanding of company financial statements, accounting, and risk analysis would be an added advantage - Strong communication skills in English with proven ability to