Specialist – Data Science, AML Customer Monitoring
Ally
**General information**
**Ref #** 19005
**Remote?** No
**Ally and Your Career**
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Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?
**The Opportunity**
The position is a supporting role in Ally’s Financial Crimes Compliance organization, providing tactical execution for critical AML functions across the Ally Enterprise and Business Lines. Reporting into the Manager, Data Science AML Customer Monitoring, this role supports AML model development and execution and will assist the organization by delivering effective and efficient solutions to AML initiatives. This role requires technical acumen as well as the ability to simplify concepts for cross functional teams.
Partner with the Enterprise Sanctions, AML Investigations team, Enhanced Due Diligence, the AML Program Management team, Enterprise Technology and lines of business in ensuring that the day-to-day operations are conducted in compliance with regulatory and legal requirements, in addition to company policies and procedures.
At this time, Ally will not sponsor a new applicant for employment authorization for this position.
**The Work Itself**
* Responsible for day-to-day activities within AML Analytics and Operations, specifically the Data Science team
* Support monitoring of current AML processes and developing new transactional and/or behavioral processes and models as needed, summarizing analytical detail and narrative of findings to manager
* Assist in maintaining and tuning current models (e.g., Customer Risk Scoring model)
* Assist in integrating new technology solutions; implement team wide as appropriate
* Leverage machine learning capabilities where applicable to facilitate model development initiatives
* Identify data anomalies that impact downstream AML processes and partner with AML Data Management or IT to resolve
* Perform risk management to understand and quantify risk, and maintain a risk minds
* Support AML Analytics & Operations automation tool management and enhancements
* Ensures day-to-day operations are conducted in compliance with regulatory and legal requirements and the organization's policy
* Assists technical teams with migration to new transaction monitoring and case management tools, as applicable
* Assists in preparation of memos and model documentation for senior leadership, regulatory agencies, internal audit, Model Risk Management, and testing teams
* Maintain a current understanding of money laundering and terrorist financing issues, including policies, procedures, regulations, industry best practice, criminal typologies and developing trends
* Analyze all data for data trends and anomalies and present findings
* Perform ad-hoc reporting for other AML functions, as needed
* Promote teamwork and collaboration to consistently deliver to the standards required
* Uses judgment, creativity, and sound technical and analytical knowledge to develop and recommend solutions relating to company policies and standard practices
**The Skills You Bring**
* Bachelors' Degree in Data Science, Computer Science, Analytics, Mathematics or related major
* 2+ years in banking/finance industry or data science
* Programming experience using Python and SQL required.
* Experience performing statistical analysis and developing models required
* Experience extracting data from Snowflake data warehouse is a plus.
* Experience automating and creating custom applications preferred (Streamlit, RShiny, etc.)
* Strong research skills, advanced skill in the use of Microsoft Outlook, Excel, PowerPoint, Word, Access, and experience with on-line research systems
* Experience using analytical tools such as SAS, R, DataRobot, and DataWalk preferred
* Proficient in Data Science concepts and applications
* Ability to work under general supervision and apply previous experience to moderately complex tasks
* Ability to work well with others
* Possess independent analytical skills
* Ability to work in a fast paced, deadline-oriented environment
* Excellent oral and written communication skills
**How We'll Have Your Back**
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Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. But Ally’s total compensation - or total rewards - extends beyond your paycheck and is designed to support and enrich your personal and professional life, including:
* Time Away: competitive holiday and flexible paid-time-off, including time off for volunteering and voting.
* Planning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan and 529 educational assistance programs, tuition reimbursement, and other financial well-being programs.
* Supporting your Health & Well-being: flexible health and insurance options including dental and vision, pre-tax Health Savings Account with employer contributions and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially.
* Building a Family: adoption, surrogacy, and fertility support as well as parental and caregiver leave, back-up child and adult/elder day care program and childcare discounts.
* Work-Life Integration: other benefits including LifeMatters® Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.
Who We Are:
Ally Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on "Doing it Right" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit www.ally.com.
Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law.
Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered, if not currently employed by Ally.
We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at work@ally.com. Ally will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation.
**_Base Pay Range:_**
An individual's position in the range is determined by the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. We review internal pay, the competitive market, and business environment prior to extending an offer.
**Emerging:** 65000
**Experienced:** 90000
**Expert:** 115000
Incentive Compensation: This position is eligible to participate in our annual incentive plan
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