Data Analytics & Research Support

10 Dec 2024

Dublin, IE, IE

About Goodbody

 

Goodbody is a leading financial services firm, committed to serving and growing client relationships for 150 years. We are a full service, investment-led business offering wealth management, asset management, investment banking and private equity services. Our staff of over 400 work in offices across Dublin, London, Cork and Galway. We’re proud to offer prospective employees a professional, collegial work environment that encourages diversity of thought and background. Our reputation in the Irish market for putting customers first is as consistent as the company’s long-standing commitment to giving back to the communities that we work in.

 

 

About the Data Analytics & Research Support role

 

The Goodbody Investment Banking Research Team produces research and analysis on the macro economy, specialist sectors and c.90 companies quoted on the Irish, London and European stock exchanges. The Research Team works closely with the Distribution and Trading desks to fully engage with institutional clients on themes, forecasts and analysis that provide insight and expertise for our clients around the world.

 

Goodbody Analytics department supports a team of top research analysts by enhancing their research output with cutting-edge data analytics techniques. The candidate will work closely alongside senior analysts on a range of projects with the main goal of collecting unique data, finding meaningful insights, and identifying trends. Goodbody Analytics works with real-world data across fields such as macroeconomics, housing, travel, and video games, among others.

 

 

Business Accountabilities include:

 

The candidate will be involved with all key components of the data science pipeline. Main tasks will include (but are not limited to):

 

  • Supporting Research Publishing Process
  • Data Acquisition 
  • Data Engineering
  • Data Storage
  • Data Analysis
  • Predictive Analytics & Forecasting
  • Application of latest AI tools
  • Data Visualization.

 

The ideal candidate must be passionate about data programming, statistics, and the latest advancements in the field of data science and AI, with strong computer science and technical acumen. This is a great opportunity to work in a dynamic environment that champions creativity and curiosity.

 

 

Qualifications and Experience

 

  • The ideal candidate should hold a third level qualification at honours standard in either Data Science, Data Analytics or Computer Science
  • Proficiency in data programming using R essential
  • Proficiency in MS Excel essential
  • Knowledge of R libraries such as GGplot, Tidyverse, RMarkdown
  • Web data mining, API interactions, JSON/XML data parsing
  • SQL, Python, Java
  • Power BI
  • Microsoft Office (Word, Powerpoint)
  • Data collection, wrangling and cleaning techniques
  • Data architectures
  • Handling and analysing unstructured data
  • Statistical techniques and concepts
  • Predictive analytics and forecasting techniques
  • Application of AI to bring novel insights and increase productivity
  • Finance industry / field knowledge advantageous

 

 

Ideal Characteristics

 

  • Problem solver with entrepreneurial aptitude
  • Creative self-starter willing to take initiative
  • Good interpersonal skills/team oriented
  • Good communicator (verbal/written)
  • General interest in finance and business issues
  • Commercial judgement

 

 

Goodbody is focused on helping our employees thrive, and we do this by bringing to life our Employee Value Proposition (EVP) ‘Together we prosper’. Our firm’s purpose is to create long-term prosperity, and we cannot execute on our purpose without the right talent at Goodbody. To make sure we attract and retain industry-leading, passionate and inspiring talent, we’ve built a vibrant culture based on inclusion, opportunities to grow and a commitment to ‘do the right thing’, one of our core values. We live this by offering:

 

  • Regular employee events through our universal inclusion programme fostering a sense of belonging and celebrating differences. And an ‘always on’ approach to social, financial, mental and physical wellbeing. 
  • A benefits package that includes a generous pension scheme, educational sponsorship and health insurance, along with a hybrid working model to promote better work/life balance
  • Opportunities to give back through sustainability initiatives, volunteering and on-site and online meetings with our charity partners

 

Goodbody is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of our workforce. Reasonable accommodations are offered at every stage of our recruitment process. Should you have a reasonable accommodation request please include a note in your application or email us directly at HR@Goodbody.ie

Please read the Goodbody Recruitment Privacy Notice. By submitting your personal data to us, you acknowledge that you have read and understood this Privacy Notice and agree to the use of your personal data in line with this. We will only use the information that we collect about you lawfully in accordance with the Data Protection Acts, 1988 and 2003 and the EU General Data Protection Regulation (GDPR).

 

Appointment to this role is subject to the candidate's eligibility to work in Ireland. Where agency assistance is required, our Recruitment Team will engage directly with suppliers. Unsolicited CVs / profiles supplied to Goodbody by recruitment agencies will not be accepted for this role. Goodbody operates a direct sourcing model and where agency assistance is required, the HR team will engage directly with our recruitment partners. 

 

Goodbody Stockbrokers UC, trading as Goodbody, is regulated by the Central Bank of Ireland. In the UK, Goodbody is also subject to regulation by the Financial Conduct Authority. Goodbody is a member of Euronext Dublin and the London Stock Exchange. Goodbody is a member of the group of companies headed by AIB Group plc.

 

 

 


Job Segment: Investment Banking, Private Equity, Computer Science, Database, SQL, Finance, Technology