Financial Data Scientist

A Financial Data Scientist is a highly skilled and experienced professional who analyzes and interprets large amounts of financial data to inform business decisions and improve performance.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Financial Data Scientist

Glassdoor
Market
National (USA)
Base Salary
$116,022 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Master's Degree

The average salary for Financial Data Scientist is $116,022 / year according to Glassdoor.com

There are no updated reports for Financial Data Scientist salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Financial Data Scientist role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.

Career Information

As a Financial Data Scientist, you will be responsible for analyzing and interpreting financial data to provide insights and recommendations to organizations. You will need a strong understanding of statistical analysis and machine learning techniques, as well as experience with programming languages like Python or R. Strong problem-solving and analytical skills are essential, as you will be responsible for extracting meaningful information from complex financial data.

The average salary for Financial Data Scientist is $116,022 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of Financial Data Scientist has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

The Financial Data Scientist is a unique role that combines the skills of a financial analyst with the power of data science. This role is responsible for analyzing large amounts of financial data and using that data to make informed decisions about the company's financial future. The Financial Data Scientist must have a strong understanding of financial concepts and be able to use data to identify trends and patterns in the company's financial data.

The most important skills for a Financial Data Scientist include:

  • Strong understanding of financial concepts and accounting principles
  • Ability to work with large amounts of data and use data to identify trends and patterns
  • Experience with data science tools and techniques such as machine learning, natural language processing, and data visualization
  • Strong communication and presentation skills
  • Ability to work effectively with others

The Financial Data Scientist's tasks include:

  • Analyzing large amounts of financial data and using that data to make informed decisions about the company's financial future
  • Identifying trends and patterns in the company's financial data and using that information to make recommendations for the company's financial strategy
  • Using data science tools and techniques to extract insights from the company's financial data
  • Communicating findings to stakeholders in a clear and concise manner
  • Working effectively with others to achieve the company's financial goals

The Financial Data Scientist is a critical role in any organization, as they are responsible for ensuring that the company's financial data is accurate and up-to-date. They are also responsible for using that data to make informed decisions about the company's financial future. The Financial Data Scientist must have a strong understanding of financial concepts and be able to use data to identify trends and patterns in the company's financial data.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

Microsoft Certified: Azure Data Scientist Associate

DP-100

The Microsoft Certified: Azure Data Scientist Associate is a high-ROI program designed for professionals who have expertise in applying data science and machine learning techniques to implement and manage machine learning workloads on Azure.

Intermediate
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Databricks Certified Data Engineer Associate

The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.

Intermediate
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Microsoft Certified: Azure Data Engineer Associate

DP-203

The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.

Intermediate
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Google Certified Professional Data Engineer

The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.

Advanced
View More

AWS Certified Data Analytics — Specialty

DAS-C01

The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

Advanced
View More

Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

Intermediate
View More

AWS Certified Machine Learning — Specialty Certification

MLS-C01

The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

Advanced
View More

Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

Advanced
View More
Specialization Programs improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

Predictive Analytics in Business

Executive Program

Mathematics for Machine Learning and Data Science Specialization

Specialization

Become a Deep Reinforcement Learning Expert

Nanodegree

Become a Natural Language Processing Expert

Nanodegree

Introduction to Data Science

Specialization

Deep Learning Specialization

Specialization

IBM Data Analyst Professional Certificate

Professional

Genomic Data Science Specialization

Specialization

R Programmer

Career Track

Python Programmer

Career Track

Quantitative Analyst with R

Career Track

Statistician with R

Career Track

Data Analyst in Power BI

Career Track

Data Analyst in SQL

Career Track

Data Analyst in Tableau

Career Track

Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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