AML Analytics Advisor

Sorry, this job was removed at 02:06 p.m. (EST) on Friday, Nov 08, 2024
Be an Early Applicant
Remote
Internship
Fintech • Mobile • Software • Financial Services
SoFi’s mission is to help people reach financial independence to realize their ambitions.
The Role

Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we're changing the way people think about and interact with personal finance.
We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role
The AML Analytics Advisor will be responsible for assisting the Anti-Money
Laundering Analytics program with model development, model optimization, model validation, management information reporting, AML system integration, AML data infrastructure and AML data architecture to effectively fight financial crime. Additionally, this role will also support AML governance initiatives including risk assessments and internal/external inquiries.
What you'll do:

  • Facilitate AML model development, implementation, optimization, assessment and validation of risk-based customer screening, transaction screening, transaction monitoring and AML customer risk rating covering multiple product lines, including banking, brokerage and lending to ensure sound risk coverage across the enterprise.
  • Maintain, test and configure AML vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance.
  • Research, compile and evaluate large sets of data to assess quality, integrity and completeness to determine suitability for AML model development.
  • Build models utilizing machine learning and statistical modeling methods for supervised and unsupervised learning.
  • Develop governance documentation related to tuning efforts, parameter changes and data validation for AML transaction monitoring to ensure a comprehensive audit trail is maintained.
  • Track and report results of tuning and optimization activities and model performance to senior management.
  • Develop robust management information dashboards displaying real-time or near real-time AML metrics.
  • Assist the AML Governance Unit by providing necessary data for AML Risk Assessments, internal/external audit examinations and other regulatory requirements.


What you'll need:

  • Bachelor's Degree or Master's Degree in Statistics, Computer Science, Mathematics, Finance, Computer Science, Engineering or other relevant areas.
  • 7+ years of experience in the finance industry focusing on BSA/AML, OFAC, or fraud modeling/analytics.
  • Statistical/data analytical skills, including data quality validation, and predictive modeling experience in SQL, R and/or Python.
  • Knowledge of and ability to leverage traditional databases, cloud-based computing, and distributed computing.
  • Experience supporting AML governance-related responsibilities including risk assessments, internal/external audits and other regulatory requirements.
  • Demonstrated ability to communicate effectively with all levels of the organization and across different business lines.
  • Knowledge of AML regulations and the USA PATRIOT Act.
  • Familiarity with regulatory guidance on Model Risk Management (Federal Reserve SR Letter 11-7, OCC Bulletin 2011-12, FDIC FIL 22-2017, DFS504)
  • Experience with data visualization (e.g., Tableau)
  • Experience with data monitoring systems (e.g., DataDog, Monte Carlo)
  • Experience with cloud data infrastructure (e.g., Snowflake)
  • Experience with automated transaction monitoring (e.g., Verafin)
  • Experience with customer/transaction screening (e.g., LexisNexis)
  • Experience with infrastructure automation software (e.g., Terraform)
  • Familiarity with virtualization and containerization (e.g., Docker)
  • Familiarity with container orchestration (e.g., Kubernetes)
  • CAMS certification preferred


Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [email protected].
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

What the Team is Saying

Kari
Niyati
Mike
Suban
Caroline
Wells
Mona
Donald
Chloe
Ishani
Kari
The Company
New York, NY
4,800 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

For nearly a decade, SoFi has helped transform the Fintech industry by creating financial products and services that help people borrow, save, spend, invest, and protect their money better, so they can achieve financial independence and realize their ambitions. Whether it’s owning a home, saving for retirement, paying off their student loans, or helping our members invest - SoFi is there every step of the way. Want to learn more about how it works? Check it out here: https://www.sofi.com/how-it-works/

Our core values are at the center of how we help our 2+ million members get their money right. They are our guiding principles for how we think about serving our members, building our company, and most importantly, how we work together. At SoFi, it’s not just what we do - but how we do it.

SoFi is also proud to be the naming rights partner of SoFi Stadium, home of the Los Angeles Chargers and the Los Angeles Rams.

For more information, visit SoFi.com

Why Work With Us

Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative, mobile-first technology to help our 2+ million members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery

SoFi Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

You can work from anywhere! We take a flexible approach to the workplace, allowing employees to choose to be remote, hybrid, or in-office full time.

Typical time on-site: Flexible
New York, NY

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account