Job description
Acuity Analytics (the trading name of Acuity Knowledge Partners) is a global, tech-first organisation helping financial institutions and corporates make better decisions through research, data, analytics and AI-enabled solutions. We combine deep financial services expertise with strong engineering, digital and AI capabilities to solve complex, real-world problems.
With a team of 7,200+ analysts, data specialists and technologists across 28 locations, we work with more than 800 organisations worldwide to drive efficiency, unlock insight and deliver measurable impact. Our success is built on the strength of our people—by investing in talent, encouraging collaboration and creating room to grow, we enable our teams to do their best work for clients.
Acuity became an independent business in 2019 following its acquisition from Moody’s Corporation by Equistone Partners Europe. In 2023, funds advised by global private equity firm Permira acquired a majority stake, with Equistone remaining a minority investor—supporting our continued growth and innovation.
For more information, visit www.acuityanalytics.com
Organizational relationships
Director/Associate Director, IORS
The role is part of the Global Macro and Quant Strategy team and is responsible for supporting the research, development, and enhancement of quantitative investment models and portfolio analytics. The successful candidate will leverage strong fixed income domain expertise, quantitative modelling skills, and programming capabilities to develop research frameworks, perform backtesting and optimization exercises, and contribute to systematic investment strategies. The role requires close collaboration with quantitative researchers, data scientists, portfolio managers, and technology teams to transform investment ideas into scalable analytical solutions.
- Support the development, enhancement, and maintenance of quantitative investment models across fixed income and macroeconomic strategies.
- Design and execute backtesting frameworks to evaluate investment signals, portfolio construction methodologies, and trading strategies.
- Conduct quantitative research and statistical analysis to identify and assess market opportunities across fixed income and other asset classes.
- Develop and optimize analytical models, research tools, and data workflows to improve investment decision-making.
- Source, validate, and analyze market and reference data from platforms such as Bloomberg (BBG), FactSet, and Capital IQ.
- Collaborate with portfolio managers, quantitative researchers, data scientists, and technology teams to implement research-driven solutions.
- Perform portfolio and performance analytics, attribution analysis, and strategy evaluation.
- Support model validation, calibration, optimization, and ongoing monitoring activities.
- Contribute to the design and management of research datasets, data repositories, and analytical infrastructure.
- Assist in integrating data from data lakes, data warehouses, and external market data sources where applicable.
- Document research methodologies, model assumptions, testing results, and analytical findings for internal stakeholders.
- Stay informed of market developments, quantitative techniques, and emerging technologies relevant to systematic investing.
Quantitative & Domain Expertise
- Strong fixed income domain knowledge is mandatory, including understanding of rates, bonds, yield curves, duration, spread products, and related analytics.
- Knowledge of additional asset classes such as Foreign Exchange (FX), Commodities (CM), and Equities (EQ) is highly desirable.
- Experience in quantitative modelling, factor research, systematic investing, or investment strategy development.
- Understanding of portfolio construction, portfolio analytics, risk-return trade-offs, and investment performance measurement.
- Exposure to trading environments or portfolio management functions is advantageous.
Technical Skills
- Strong programming skills with the ability to develop scalable analytical and research solutions.
- Experience designing and implementing backtesting frameworks and model evaluation processes.
- Knowledge of optimization techniques applied to portfolio construction, investment strategies, or quantitative models.
- Proficiency with financial market data platforms such as Bloomberg (BBG), FactSet, and Capital IQ (CapIQ).
- Experience working with large financial datasets and data-driven research environments.
- Familiarity with data lakes, data warehouses, and modern data management architectures is preferred but not mandatory.
Professional Skills
- Strong analytical and problem-solving capabilities with a rigorous, research-oriented mindset.
- Ability to translate complex investment concepts into practical quantitative solutions.
- Excellent communication skills and ability to collaborate effectively with quants, portfolio managers, data scientists, and technology teams.
- Ability to manage multiple research initiatives and deliver high-quality outputs in a fast-paced environment.
- Self-motivated, detail-oriented, and capable of working independently while contributing to broader team objectives.
Acuity Analytics has earned several prestigious industry recognitions, including Great Place to Work® certifications in India and Costa Rica, AVTAR Best Companies for Women in India, the AVTAR Most Inclusive Companies Index, and Silver accreditation in the Workplace Equality Index. These accolades reflect our commitment to building an inclusive, supportive and high-performance workplace for our people. Learn more here.
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