Senior Data Scientist

SoFi

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Salary
$128,000–$240,000 / yr
Posted
59 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $184k
$88k most similar roles pay here $256k

This role pays more than 72% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $184k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About SoFi

SoFi Technologies is a fintech company offering student and personal loans, mortgages, credit cards, investing, banking, and insurance products, positioning itself as a one-stop financial services platform. Industry: Financial Technology & Personal Finance

SoFi currently has 17 open roles on FindRole.

Listed pay typically runs $156,800–$247,500 across 17 roles with salary data.

Most-posted roles

View all roles at SoFi

At a glance

TL;DR · Senior Data Scientist

The Senior Data Scientist joins the compliance team to support the Anti-Money Laundering program by developing, optimizing, and validating models to fight financial crime. This role involves building advanced AML models using machine learning and statistical modeling for supervised and unsupervised learning across banking, brokerage, and lending product lines. The individual will manage data infrastructure, oversee model lifecycle governance, and create management information dashboards for real-time metrics. Key responsibilities include maintaining vendor solutions, performing risk assessments, and ensuring regulatory compliance is embedded in all designs. To succeed, the candidate must possess a degree in a quantitative field and experience in BSA/AML or fraud modeling. Required technical skills include SQL, Python, and proficiency with traditional databases, cloud computing, and distributed systems to ensure robust data quality and model performance across the enterprise.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Develop, optimize, and validate risk-based AML models for customer screening, transaction monitoring, and risk rating.
  • Architect advanced AML models using machine learning and statistical modeling methods for supervised and unsupervised learning.
  • Maintain, test, and configure AML vendor solutions to ensure proper implementation and performance.
  • Evaluate large datasets to assess quality, integrity, and suitability for model development.
  • Lead governance and quality control across the full model lifecycle, including code reviews and methodology validation.
  • Create management information dashboards to display real-time or near real-time AML metrics.
  • Document modeling methodologies, data sources, and results to ensure a comprehensive audit trail.
  • Provide data and support for AML risk assessments and internal/external regulatory examinations.

What we're looking for

  • Bachelor's Degree or Master's Degree in Statistics, Computer Science, Mathematics, Finance, Engineering, or a related field.
  • 3+ years of experience in the finance industry focusing on BSA/AML, OFAC, or fraud modeling and analytics.
  • Proficiency in SQL and Python for data quality validation and predictive modeling.
  • Ability to leverage traditional databases, cloud-based computing, and distributed computing.
  • Track record of leading AML governance initiatives including risk assessments and internal/external audits.
  • Demonstrated ability to communicate effectively with various organizational levels and business lines.
  • Knowledge of AML regulations and the USA PATRIOT Act (preferred).
  • Familiarity with Model Risk Management regulatory guidance, data visualization tools, cloud infrastructure, or CAMS certification (preferred).

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