Business Analyst (OTC Derivatives / ETD)
Kraków, Poland
StoneX Group
Overview
Permanent, full-time, hybrid (3 days per week in an office).
Connecting clients to markets – and talent to opportunity.
With 4,300 employees and over 400,000 retail and institutional clients from more than 80 offices spread across five continents, we’re a Fortune-100, Nasdaq-listed provider, connecting clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors.
At StoneX, we offer you the opportunity to be part of an institutional-grade financial services network that connects companies, organizations, and investors to the global markets ecosystem. As a team member, you'll benefit from our unique blend of digital platforms, comprehensive clearing and execution services, personalized high-touch support, and deep industry expertise. Elevate your career with us and make a significant impact in the world of global finance.
Business Segment Overview: Engage in a deep variety of business-critical activities that keep our company running efficiently. From strategic marketing and financial management to human resources and operational oversight, you’ll have the opportunity to optimize processes and implement game-changing policies.
Responsibilities
Position Purpose: The Business Analyst position exists to ensure the seamless integration and optimization of business data to drive informed decision-making. By leveraging data engineering and visualization techniques, the role supports the global operations portfolio in generating actionable insights from large datasets for both technical and non-technical stakeholders.
Technology Ecosystem:
- Database: SQL, Databricks
- Programming languages: Python
- Data visualization: Power BI
- AI tools: ChatGPT
Primary duties will include:
- Analysis of business data flow and specification.
- Continuous collaboration involving engagement with SMEs to validate data.
- Partner with internal stakeholders to drive organizational success, fostering open dialogue to address potential issues and uncover opportunities for business improvement.
- Work with data teams to improve data quality / add data in absence
- Preparation of curated dataset for creating KPI reports using SQL and/or Python.
- Assist in validating existing business dashboards and developing new ones using Power BI.
- This list of duties and responsibilities is not intended to be all-inclusive and can be expanded to include other duties or responsibilities that management deems necessary.
- Openness to using new technologies. You want to use ChatGPT? Yes, you can leverage it here!
Qualifications
To land this role you will need:
- Knowledge of capital markets and experience with investment products, with a particular emphasis on derivatives.
- A minimum of 3 years of experience in an analytical role within the financial industry, preferably as a Quantitative Analyst.
- Demonstrable domain expertise in product metric identification, improving data quality, experimentation design and execution.
- Very good knowledge of SQL enabling data analysis.
- Can-do attitude, sense of ownership and a team-player approach.
- Effective communication skills with the ability to convey complex issues to non-technical parties.
- Strong attention to detail and demonstrated ability to produce high quality, accurate work.
What makes you stand out:
- Having programming skills in Python for application in data science/engineering projects will be an additional advantage.
- Experience with financial products and/or payment systems background in innovation including design thinking, prototyping and have solid commercial awareness.
- Experience working with distributed, multidisciplinary teams across the globe.
Education / Certification Requirements:
- Educated to degree level or equivalent.
- Additional certifications in finance as well as technical skills will be an added advantage.
Working environment:
- Hybrid (2 days from home, 3 days from the office) at our Cracow office (Mogilska 35 street).
- Private parking for employees.
#LI-Hybrid #LI-DK1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: ChatGPT Data analysis Databricks Data quality Data visualization Engineering Finance GPT Power BI Prototyping Python SQL
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