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Weekend Data Analyst Fintech Jobs in Illinois (NOW HIRING)

Envestnet, Yodlee, Yodlee Data APIs, FastLink * SME, Business Analyst, Wealth Platform SME * Account Aggregation, Transactions, Investments, Holdings * Wealth Management, Banking, FinTech, WealthTech

Venture Capital Analyst

Chicago, IL · On-site

$130 - $160/hr

... the fintech and capital markets space. Our portfolio comprises 35 companies including Crusoe ... trading platforms, data businesses and technology companies * Excellent communication and ...

... analytics, fraud strategy, or risk modeling, ideally in fintech or lending * Advanced Python and ... data * Track record of translating analysis into business strategy and communicating with senior ...

Senior Financial Analyst

Chicago, IL · On-site

$90 - $120/hr

Using data, technology, and thoughtful human support, we're building products that are clear, fair ... Forbes' Fintech 50 (2023-2026) * Great Places to Work Certified (2024-2026) Most importantly, we're ...

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity to become part of a fast-growing, revolutionary fintech company shaping the future of retail futures ...

Showing results 41-60

Weekend Data Analyst Fintech information

What is the difference between Weekend Data Analyst Fintech vs Weekend Data Analyst Banking?

AspectWeekend Data Analyst FintechWeekend Data Analyst Banking
Required CredentialsBachelor's in Data Science, Finance, or related field; familiarity with fintech toolsBachelor's in Finance, Economics, or related; knowledge of banking systems
Work EnvironmentStartups, online platforms, flexible hoursTraditional bank branches, financial institutions, similar flexible weekend roles
Employer & Industry UsageFintech companies, online lenders, digital payment firmsCommercial banks, retail banking, financial services

The main difference between Weekend Data Analyst Fintech and Weekend Data Analyst Banking lies in the industry focus and work environment. Fintech roles are often in innovative, digital-focused companies requiring familiarity with new financial technologies, while banking roles are within traditional financial institutions emphasizing banking systems and regulations. Both roles typically require similar data analysis skills but cater to different sectors within finance.

What cities in Illinois are hiring for Weekend Data Analyst Fintech jobs?

Cities in Illinois with the most Weekend Data Analyst Fintech job openings:

Manager-AI and Data Risk Management

Deloitte

Chicago, IL

Full-time

Posted 23 days ago


Key responsibilities

  • Lead and oversee data and analytics solutions for clients, providing project guidance and ensuring alignment with engagement objectives.

  • Act as the main point of contact for clients, communicating progress, insights, and presenting findings and recommendations to stakeholders.

  • Design and implement solutions to improve data management capabilities, including data architecture, data platforms, data governance, data quality, and data security.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services


Job description

Technical Manager - AI & Data Risk Management - Financial Services 

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

The Manager is a key hands-on leader of a team providing data and analytics solutions to our clients, and you will have following roles:

  • Act as a team leader in engagements, providing project oversight and guidance on the direction for the team ensuring the team is aligned with client / engagement objectives
  • Be the main point of contact for clients, communicating progress, and insights to stakeholders
  • Design and implement solutions to enhance data management capabilities such as data architecture, data platforms, data governance, data quality, and data security
  • Apply knowledge of Financial Services industry systems, tools, and technologies to develop robust and scalable solutions
  • Integrate and/or pilot next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) in designing solutions or execution of engagements
  • Oversee technical components of data initiatives and perform technical reviews of solutions designed by the team
  • Coordinate with cross-functional teams internally and externally to execute engagements
  • Develop strategies for utilizing analytics and visualization tools to transform raw data into actionable insights for the clients
  • Prepare reports for senior management that detail progress, challenges, and milestones related to projects and initiatives
  • Present findings and recommendations to stakeholders in a clear, impactful manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 7+ years' experience in data architecture, data management, or data engineering
  • 3 years' experience in the financial services or fintech industry
  • Proficiency in tools in the following areas:
    • Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.)
    • Big Data Tools (e.g., Databricks, Snowflake, Apache Spark & Kafka, etc.)
    • Data Management (e.g., Collibra, Alation, Informatica, Alteryx, etc.)
    • Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.)
    • Data Visualization (e.g., Tableau, PowerBI, Qlik, etc.)
    • Data Mining (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.)
  • Experience in:
    • Reporting tools such as Axiom for regulatory reporting in banking
    • Data integration and migration projects within financial services
    • Data governance tools and their application in a regulatory context
  • Ability to manage large datasets and perform complex data manipulations and analyses
  • Strong analytical skills with the ability to interpret complex data and translate it into actionable insights
  • Proven track record of effective communication (written and verbal) and complex problem solving in fast paced environments
  • Experience managing distributed teams across geographies and overseeing complex projects
  • Limited immigration sponsorship may be available
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems or a related field OR MBA
  • Project Management Professional (PMP), Cloud Certification (e.g. AWS, Azure), Certified Data Management Professional (CDMP), or similar credentials
  • 4+ years of experience in the financial services industry

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141200 to $278300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Technical Manager - AI & Data Risk Management - Financial Services 

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

The Manager is a key hands-on leader of a team providing data and analytics solutions to our clients, and you will have following roles:

  • Act as a team leader in engagements, providing project oversight and guidance on the direction for the team ensuring the team is aligned with client / engagement objectives
  • Be the main point of contact for clients, communicating progress, and insights to stakeholders
  • Design and implement solutions to enhance data management capabilities such as data architecture, data platforms, data governance, data quality, and data security
  • Apply knowledge of Financial Services industry systems, tools, and technologies to develop robust and scalable solutions
  • Integrate and/or pilot next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) in designing solutions or execution of engagements
  • Oversee technical components of data initiatives and perform technical reviews of solutions designed by the team
  • Coordinate with cross-functional teams internally and externally to execute engagements
  • Develop strategies for utilizing analytics and visualization tools to transform raw data into actionable insights for the clients
  • Prepare reports for senior management that detail progress, challenges, and milestones related to projects and initiatives
  • Present findings and recommendations to stakeholders in a clear, impactful manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 7+ years' experience in data architecture, data management, or data engineering
  • 3 years' experience in the financial services or fintech industry
  • Proficiency in tools in the following areas:
    • Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.)
    • Big Data Tools (e.g., Databricks, Snowflake, Apache Spark & Kafka, etc.)
    • Data Management (e.g., Collibra, Alation, Informatica, Alteryx, etc.)
    • Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.)
    • Data Visualization (e.g., Tableau, PowerBI, Qlik, etc.)
    • Data Mining (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.)
  • Experience in:
    • Reporting tools such as Axiom for regulatory reporting in banking
    • Data integration and migration projects within financial services
    • Data governance tools and their application in a regulatory context
  • Ability to manage large datasets and perform complex data manipulations and analyses
  • Strong analytical skills with the ability to interpret complex data and translate it into actionable insights
  • Proven track record of effective communication (written and verbal) and complex problem solving in fast paced environments
  • Experience managing distributed teams across geographies and overseeing complex projects
  • Limited immigration sponsorship may be available
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems or a related field OR MBA
  • Project Management Professional (PMP), Cloud Certification (e.g. AWS, Azure), Certified Data Management Professional (CDMP), or similar credentials
  • 4+ years of experience in the financial services industry

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141200 to $278300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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