1

Weekend Data Analyst Fintech Jobs in Michigan (NOW HIRING)

Analyze, manipulate and process large sets of data * Develop predictive/machine learning models ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Analyze, manipulate and process large sets of data * Develop predictive/machine learning models ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Senior Financial Analyst

Detroit, MI · On-site

$76K - $161K/yr

Work directly with Data/BI to scale datasets, improve accessibility, and reduce manual processes ... Experience in mortgage, fintech, or financial services industry * Advanced Excel skills including ...

Query, analyze, and summarize large and complex datasets to drive business strategy and decision ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Finance Systems Analyst

Grand Rapids, MI · On-site

$82K - $111K/yr

Analyst - Finance Systems About Acrisure A global fintech leader, Acrisure empowers millions of ... Execute data extraction and normalization from various sources and fragmented systems, ensuring ...

Finance Systems Analyst

Grand Rapids, MI · On-site

$82K - $112K/yr

Analyst - Finance Systems About Acrisure A global fintech leader, Acrisure empowers millions of ... Execute data extraction and normalization from various sources and fragmented systems, ensuring ...

Finance Systems Analyst

Grand Rapids, MI

$82K - $111K/yr

Analyst - FinanceSystems About Acrisure A global fintech leader, Acrisure empowers millions of ... Execute data extraction and normalization from various sources and fragmented systems, ensuring ...

You will collect and analyze tax data, prepare comprehensive tax workpapers, and support the ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

You will collect and analyze tax data, prepare comprehensive tax workpapers, and support the ... fintech, realestateand more.We'reinsistently different in how we look at the world and are ...

next page

Showing results 1-20

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 are the most commonly searched types of Data Analyst Fintech jobs in Michigan? The most popular types of Data Analyst Fintech jobs in Michigan are:
What are popular job titles related to Weekend Data Analyst Fintech jobs in Michigan? For Weekend Data Analyst Fintech jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst Fintech jobs in Michigan look for? The top searched job categories for Weekend Data Analyst Fintech jobs in Michigan are:
What cities in Michigan are hiring for Weekend Data Analyst Fintech jobs? Cities in Michigan with the most Weekend Data Analyst Fintech job openings:
Data Scientist

Full-time

Posted 2 days ago


Job description

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business leaders. The Data Scientist delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business.

About the role

  • Analyze, manipulate and process large sets of data

  • Develop predictive/machine learning models from large sets of structured and unstructured data

  • Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models

  • Apply feature selection algorithms to models predicting outcomes of interest

  • Apply sampling techniques to determine groups to be surveyed

  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance

  • Create graphs, charts or other visualizations to convey the results of data analysis

  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to stakeholders

  • Identify business problems or leader objectives that can be addressed through data analysis

  • Identify relationships and trends or any factors that could affect the results of research

  • Identify and propose solutions to business problems using the results of data analysis

  • Test, validate and reformulate models to ensure accurate prediction of outcomes of interest

  • Write new functions or applications to conduct analyses

  • Partner with machine learning engineers on the deployment of applicable models for business projects

  • Communicate analyses, conclusions and solutions clearly to all audiences

  • Sequence the steps involved to deliver a working model, estimate the timelines for the completion of work and communicate this information to the project manager

  • Advise project teams on application improvements that will result in enhanced predictive and prescriptive models

  • Develop and evangelize best practices for statistical or behavioral models

  • Drive the collection of new data and the refinement of existing data sources

  • Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses

  • Mentor and train associate data scientists

About you

  • 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP

  • 3 years of experience with statistical and data mining tools and methods

  • 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)

  • 3 years of experience working with SQL

  • 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.)

  • 3 years of experience with statistical packages

  • 3 years of experience providing predictive and prescriptive analytics in a business setting

  • Master's degree in mathematics, statistics, computer science or a related field or equivalent experience

  • Advanced understanding of data visualization libraries

  • Advanced understanding of statistical methodologies for modeling and business analytics

What you'll get

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.

About us

Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage, which was founded in 1985. Today, we're a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.