WHO WE ARE
We are PEAK6 a leading investment firm using technology to find a better way of doing things. The companys first tech-based solution was developed in 1997 to optimize options trading and over the past two decades the same formula has been used across a range of industries asset classes and business stages to consistently deliver superior results. Today PEAK6 seeks transformational opportunities to provide capital and strategic support to entrepreneurs and forward-thinking businesses. PEAK6s core brands include PEAK6 Capital Management PEAK6 Strategic Capital Apex Fintech Solutions FOCUS We Insure Evil Geniuses Poker Power Zogo and Bruce Markets.
ABOUT THIS ROLE
Apex Fintech Solutions is seeking a proactive and detail-oriented Data Visualization Intern to design and map out the interdependencies of our Operations teams. This project-driven internship requires an analytical approach to visually showcase What We Do and How We Work Together using tools like Visio.
The intern will create a roadmap of operational workflows such as account opening to the lifecycle of brokerage services while uncovering dependencies and documenting efficiencies. This position is ideal for individuals passionate about problem-solving pattern recognition and crafting clear visual representations of complex systems.
To be considered candidates must commit to a 10-week hybrid internship working 40 hours per week during our summer program.
Key Responsibilities:
Collaborate closely with operations teams to outline processes and integrations visually using Visio.
Develop detailed workflows thatdemonstratethe lifecycle of account-related operations across various teams.
Document interdependencies between teams to improve clarity and efficiency in Apexs operational structure.
Analyze operations data to highlight areas for optimization or gaps in collaboration.
Present visual representations to stakeholders as actionable insights.
Education and Experience:
Currently pursuing or recently completed a degree in Business Administration Data Analytics Information Technology or a related field.
Senior standing May 2027 graduate
Strong analytical skills and attention to detail with experience in data analysis.
Familiarity with visualization tools such as Visio or similar platforms.
Excellent communication and teamwork skills for cross-functional collaboration.
Ability to manage multiple tasks and prioritize effectively in a fast-paced environment.
General interest in Fintech.
Work Environment:
This internship operates in a hybrid 4-day a week in office environment.
This internship operates on a hybrid schedule in Austin TX C
Salary:
$25 per hour.
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OUR REWARDS
We offer a robust package of employee perks and benefits including healthcare benefits (medical dental and vision EAP) competitive PTO 401k match parental leave and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. As a hybrid workforce we offer our employees the ability to work remotely up to two days a week.
PEAK6 is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex (including pregnancy sexual orientation and gender identity) national origin age disability veteran status marital status or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics.
PEAK6 is committed to creating an inclusive and accessible workplace for all candidates including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process please contact our HR department at We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.
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Required Experience:
Intern