Davy
Financial Services
SeniorDataAnalyst(InvestmentManagement)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Analyst (Investment Management) at Davy. Skills: Data analysis, Quantitative modelling, Portfolio analytics, Risk modelling. Operate within Data & Analytics function. Support Investment Management team”
Industry & Context.
Analytical capability
Eligibility to work in Ireland
What They're Looking For.
Must Have
5–8 years’ experience in data analytics, Experience in investment management, Experience in asset management, Experience in financial services, Analytical capability, Experience in performance attribution, Experience in portfolio analytics, Experience in risk modelling, Proficiency in Python, Advanced SQL skills, Experience working with cloud data platforms, Good understanding of financial instruments, Experience working within Agile environments, Familiarity with project management tools, Experience working with data engineering teams, Experience with data visualisation tools, Stakeholder engagement skills, Demonstrated delivery focus, Ability to prioritise effectively, Ability to drive outcomes
Nice to Have
Interest in AI techniques, Ability to apply AI techniques, Interest in advanced analytics techniques, Ability to apply advanced analytics techniques
What You'll Do.
Operate within Data & Analytics function
Support Investment Management team
Act as analytical partner
Translate complex datasets into insights
Contribute to design of data solutions
Contribute to development of data solutions
Ensure investment data is trusted
Ensure investment data is accessible
Ensure investment data is fit for purpose
Manage analytical backlogs
Prioritise analytical backlogs
Manage data product backlogs
Prioritise data product backlogs
Partner with portfolio managers
Partner with investment teams
Translate business requirements
Develop analytical models
Design performance attribution
Deliver performance attribution
Design portfolio analytics
Deliver portfolio analytics
Build reporting outputs
Collaborate with data engineers
Develop investment data pipelines
Enhance investment data pipelines
Support development of curated investment data sets
Support development of data products
Enable self-service analytics
Operate within Agile delivery frameworks
Define data quality standards
Apply data quality standards
Explore AI techniques
Explore advanced analytical techniques
Apply advanced analytical techniques
Work with third-party data providers
How You'll Work.
Team & Collaboration
Data engineering teams; Portfolio managers; Investment teams; Investment stakeholders; Risk stakeholders; Senior stakeholders
Communication Scope
Communicate complex analysis
Process & Methodology
Agile, Backlog management, Iterative delivery
Full Job Description
**About us ** At Davy, it’s the unique talents of all our people that have been the foundations of our success for 100 years. As we continue to grow, so do you. Because you are not just part of our team – you are a key player in shaping our future. **At Davy, you are the difference. ** Established in 1926, the Davy Group sits at the heart of wealth and capital in Ireland, providing a broad range of services to high-net-worth individuals, self-directed investors, small-to-medium enterprises, credit unions, corporations, and domestic & international institutional investors. Our culture is shaped around three values, which are at the heart of everything we do: client success, one Davy, and building a proud legacy. Sharing the same goals, we work together to deliver exceptional outcomes for our clients. As part of a team of over 900, you will be encouraged to learn and to grow, both professionally and personally. **About the role ** An exciting opportunity has opened up in the Data and Analytics Team. In the role, the successful candidate will: * The Senior Data Analyst will operate within Davy’s enterprise Data & Analytics function, supporting the Investment Management team as a key analytical partner to portfolio management, investment research and risk teams. * This is a hands-on role at the intersection of data analysis, data product ownership and quantitative modelling. The role combines deep analytical capability with an understanding of investment data and business needs, translating complex datasets into insights that support portfolio construction, performance analysis and investment decision-making, including ownership of analytical use cases from requirement through to delivery. * Work closely with data engineering teams (including Snowflake engineers), the role will contribute to the design and development of scalable data solutions, ensuring investment data is trusted, accessible and fit for purpose. The role requires a strong delivery focus, with responsib
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