Hadoop

Hadoop Finance Jobs

3 jobs found

9d ago

Financial Investigations Data Scientist

Guidehouse Washington, DC

Washington, DC

9d ago

$98k - $163k/yr Full time Analytics Big Data Data Analysis

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Job Description

Guidehouse is seeking a Financial Investigations Data Scientist to lead analytical workstreams that support complex financial crime investigations and enforcement matters. This onsite role in Washington, DC blends advanced data science on structured and unstructured datasets to help identify illicit financial activity and deliver decision-support products for regulatory and enforcement stakeholders.

Compensation for this position ranges from USD 98,000 to 163,000 per year.

What you will do

Lead analytical workstreams supporting complex financial crime investigations and enforcement matters.
Use advanced data science methodologies on structured and unstructured data to identify patterns of illicit financial activity, support investigative findings, and build analytical products used in regulatory and enforcement decision-making.
Execute analytical projects independently while collaborating directly with investigators, intelligence analysts, attorneys, and regulatory stakeholders.
Translate analytical findings into memoranda, briefings, recommendations, and other decision-support products.

Key requirements

Active and current Secret clearance is required.
Must be a U.S. Citizen.
Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
4 years of experience developing analytical methods, models, tools, or workflows that deliver actionable insights.
Experience analyzing financial data and BSA filings, including SARs, CTRs, wire transfers, transaction records, account activity, or related financial intelligence datasets.
Strong proficiency with Python, SQL, PySpark, machine learning, natural language processing, data visualization, and statistical analysis.
Experience performing entity resolution of businesses, companies, beneficial owners, or related parties using analytical techniques and methodologies.
Experience working in large-scale data environments using Hive, Spark, Hadoop, PostgreSQL, Oracle, or similar technologies.
Onsite schedule: willing to work in Washington, DC five (5) days per week.

Technologies you will use

Python, SQL, PySpark, machine learning, natural language processing, data visualization, statistical analysis, entity resolution, Hive, Spark, Hadoop, PostgreSQL, Oracle

Nice to have

Experience supporting investigations involving money laundering, proliferation financing, terrorist financing, sanctions evasion, cyber-enabled financial crime, or complex fraud schemes.
Experience analyzing blockchain, virtual currency, Fedwire, correspondent banking, or international transaction data.
Experience supporting enforcement actions, regulatory reviews, or investigative matters.
Prior experience supporting FinCEN, Treasury, DOJ, DHS, or other federal law enforcement or regulatory agencies.

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

Role details

Job family: Risk & Regulatory Compliance Consulting
Travel required: Up to 10%

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1mo ago

Data Scientist- Financial Investigation

Guidehouse Washington, DC

Washington, DC

1mo ago Closed

$98k - $163k/yr Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Oct 26, 2026).

Job Description

Guidehouse is seeking a Data Scientist- Financial Investigation for an onsite role in Washington, DC. In this position, you will lead analytical workstreams that support complex financial crime investigations and enforcement matters, turning data into decision-support products for regulatory and enforcement stakeholders.

What you will do

Lead analytical workstreams supporting complex financial crime investigations and enforcement matters.
Use advanced data science methods to analyze structured and unstructured datasets, identifying patterns of illicit financial activity and supporting investigative findings.
Develop analytical products that inform regulatory and enforcement decision-making.
Translate analytical findings into memoranda, briefings, recommendations, or other decision-support materials.
Independently execute analytical projects while collaborating directly with investigators, intelligence analysts, attorneys, and regulatory stakeholders.

Requirements

Active and current Secret clearance is required.
Must be a US Citizen.
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
4+ years of experience developing analytical methods, models, tools, or workflows that deliver actionable insights.
Experience analyzing financial data and BSA filings, including SARs, CTRs, wire transfers, transaction records, account activity, or related financial intelligence datasets.
Strong proficiency with Python, SQL, PySpark, machine learning, natural language processing, data visualization, and statistical analysis.
Experience performing entity resolution of businesses, companies, beneficial owners, or related parties using analytical techniques.
Experience working in large-scale data environments using Hive, Spark, Hadoop, PostgreSQL, Oracle, or similar technologies.
Experience translating analytical findings into memoranda, briefings, recommendations, or other decision-support products.
Ability to independently execute analytical projects and collaborate with investigators, intelligence analysts, attorneys, and regulatory stakeholders.

Technologies

Python
SQL
PySpark
Machine learning
Natural language processing
Data visualization
Statistical analysis
Hive
Spark
Hadoop
PostgreSQL
Oracle

Nice to have

Experience supporting investigations involving money laundering, proliferation financing, terrorist financing, sanctions evasion, cyber-enabled financial crime, or complex fraud schemes.
Experience analyzing blockchain, virtual currency, Fedwire, correspondent banking, or international transaction data.
Experience supporting enforcement actions, regulatory reviews, or investigative matters.
Prior experience supporting FinCEN, Treasury, DOJ, DHS, or other federal law enforcement or regulatory agencies.

Compensation, travel, and job family

Annual salary range: USD 98,000 - 163,000
Travel required: up to 10%
Job family: Risk & Regulatory Compliance Consulting

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

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4mo ago

Lead Data Engineer (Finance Tech)

Capital One Richmond, VA

Richmond, VA

4mo ago Closed

$179k - $205k/yr Full time Big Data Bigdata Cloud Architecture

This position is no longer accepting applications (closed Jul 4, 2026).

Job Description

What Capital One offers

Join Capital One in its Finance Tech initiative for an on-site role in Richmond, Virginia, with a competitive annual salary of USD 179,400 to 204,700. You will work in a collaborative environment that emphasizes cloud-based data platforms and data-driven financial decisions. The position includes comprehensive health and financial benefits, along with a performance-based incentive program that may include cash bonuses and long-term incentives. This role welcomes ongoing learning and mentorship within a supportive engineering community.

Responsibilities

Collaborate with Agile teams to design, build, test, deploy, and support technical solutions using full-stack tools and technologies.
Join a development team with deep experience in machine learning, distributed microservices, and full-stack systems.
Work with Java, Scala, and Python, plus Open Source RDBMS and NoSQL databases, and cloud data warehousing services such as Redshift and Snowflake.
Share a passion for staying current with technology trends, experimenting with new tools, participating in internal and external tech communities, and mentoring other engineers.
Collaborate with digital product managers to deliver robust cloud-based solutions that empower millions of Americans to achieve financial empowerment.
Perform unit tests and participate in code reviews to ensure well-designed, cleanly coded, and performance-tuned software.

Requirements

Bachelor’s Degree
At least 4 years of experience in application development (internships do not count)
At least 2 years of experience with big data technologies
At least 1 year of cloud computing experience (AWS, Microsoft Azure, Google Cloud)

Technologies

Java
Scala
Python
Redshift
Snowflake
Mongo
Cassandra
Hadoop
Hive
MapReduce
EMR
Kafka
Spark
Gurobi
MySQL
UNIX/Linux
Shell scripting
AWS
Microsoft Azure
Google Cloud

Benefits

Health benefits
Financial benefits
Performance-based incentive compensation (cash bonuses and/or long-term incentives)

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