Data Analytics Analyst - Financial Institutions Advisory
At a glance
Mid-level Data Analysis & BI role at Thinkbrg. Buenos Aires · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Work with senior colleagues on financial risk projects covering credit, valuation, capital planning, stress testing and related areas
- Prepare analyses and financial models from transaction-level or financial data for risk initiatives
- Create client materials and contribute to expert reports using relevant software and analytical methods
- Organize competing assignments and meet project goals and deadlines
What you bring
- A bachelor’s degree in finance, economics, business, computer science, mathematics, statistics or a related quantitative discipline
- At least two years in data analysis, preferably in banking, financial services or consulting
- Working ability with SQL and Python, plus advanced Excel skills for extracting, analyzing and handling data
- Experience building reports or dashboards in a visualization tool such as Power BI or Tableau
- Advanced written and spoken English, with the ability to explain analytical findings to nontechnical audiences
Who this fits
This role suits an analyst who can handle data-heavy financial risk work and communicate findings in writing and presentations. You’ll manage multiple assignments in a consulting setting and work directly with senior professionals. The title depends on your experience level.
From the employer
We Do Consulting Differently
Please note that the job title (Analyst or above) will be determined based on the candidate’s level of experience.
BRG’s Financial Institution Advisory practice specializes in helping commercial banks, consumer finance companies, credit unions, mortgage banks, capital market participants and insurance companies solve pressing business issues. The group brings a mix of functional experts—including CPAs, CFAs, CROs, CRCMs, FRMs, former regulators, financial modelers, technologists, former bankers, and longtime consultants—to address immediate risks and drive tangible benefits.
We are looking for highly energetic, professionals who are eager to build on their experience. This person will use their solid analytical ability and strong data analysis skills to solve complex problems. The work will involve execution of engagement work streams that may be either qualitative or quantitative in nature.
Responsibilities
- Work directly with senior professionals to execute various financial institution advisory projects related to financial risk management including credit risk, valuation, capital planning, and stress-testing, liquidity, resolution planning, and model risk management. Functional areas of work encompass regulatory, risk and controls; finance and accounting; technology enablement; and business process optimization.
- Works on data intensive projects, including analytics, governance, and manipulation, to support a variety of financial risk initiatives.
- Develop analyses and financial models using transactional data and/or financial data.
- Generate client deliverables and make valuable contributions to expert reports
- Demonstrate creativity and efficient use of relevant software tools, analytical methods and computer models to develop solutions.
- Prioritize assignments and responsibilities in order to meet goals and deadlines.
Essential requirements
Education & experience
- Bachelor’s degree in Finance, Economics, Business, Computer Science, Mathematics/Statistics, or a related quantitative field
- Minimum of 2 years of experience in data analysis, ideally in banking, financial services, or consulting
Technical skills
- Working knowledge of SQL and Python for data extraction, transformation, and analysis
- Hands-on experience with a data visualisation tool (e.g. Power BI, Tableau) to build reports or dashboards
- Advanced proficiency in Microsoft Excel (e.g. pivot tables, lookups, Power Query) and strong general MS Office skills
- Familiarity with version control (Git) and collaborative development workflows
Professional skills
- Strong analytical and problem-solving skills, with attention to detail and data accuracy
- Ability to explain findings clearly to non-technical stakeholders, in writing and in presentations
- Advanced written and spoken English
- Comfortable managing multiple tasks and deadlines in a consulting environment
Desirable requirements
- Foundational understanding of consumer finance or banking knowledge
- Experience with cloud data platforms such as Snowflake or Databricks
- Experience with Python libraries for data analysis and modelling, such as pandas, NumPy, scikit-learn
- Practical experience using AI tools in analytical work, for example using LLM assistants to speed up coding, querying, or documentation, or applying machine learning techniques to data problems, with an understanding of their limitations and the need to validate outputs
About BRG
BRG combines world-leading academic credentials with world-tested business expertise and purpose-built emerging technologies. Our culture centers on agility and connectivity which sets us apart and gets you ahead.
At BRG, our professionals include specialist consultants, industry experts, renowned academics, and leading-edge data scientists. Together, they bring a diversity of real-world experience, data, and human and artificial intelligence, to economics, disputes, and investigations; corporate finance; and performance improvement services that address the most complex challenges facing organizations across the globe.
Our unique structure nurtures the interdisciplinary relationships that give us the edge, laying the groundwork for more informed insights and more original, incisive thinking. When paired with our global reach and resources, our diverse perspectives and technical capabilities make us uniquely capable to address our clients’ challenges. We get results because we know how to apply our thinking to your world.
At BRG, we don’t just show you what’s possible. We’re built to help you make it happen.
BRG is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.