Description
We are the Data Science team, focused on Risk Management. Our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis.
You are detail oriented with an analytical, logical way of thinking, and are passionate about making data driven decisions. The financial world and the complexities that come along with it is very interesting to you. You enjoy creating statistical and machine learning models to perform complex analysis.
You will:
Perform statistical analysis to determine Fair Lending regulatory risks associated with CRB and its Marketplace Lending partners in underwriting, pricing, and servicing
Gather and report on data necessary for fair lending assessments, data availability, and data quality
Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data driven decisions
Collaborate with various partners to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments
Develop insightful and compelling summary reporting and dashboards for management and business line partners
Developing analytical methods and models that assess the Fair Lending regulatory risks of new and existing lending products
Work regularly with the CRB US team on the East Coast and be available until 19:30/20:00 4 days a week
You have:
- 3+ years of related work experience, preferably in both Data Engineering and Data Science
- Strong programming skills in Python
- Strong knowledge of databases and related languages/tools such as SQL
- Experience with AWS, Glue, Athena and machine learning tools, such as Sagemaker
- Experience of machine learning and statistical modelling methods
- Familiarity with financial services, particularly the loan business
- Bachelor’s in economics, finance, statistics, computer science or a related quantitative field
- It's a bonus if you have: some knowledge of the use of statistical analysis related to anti-discrimination laws such as fair lending, programming skills in SAS, familiarity with adversarial debiasing techniques
Why join us:
Cross River provides technology infrastructure powering the future of financial services. Leveraging a proprietary real-time banking core. We are backed by leading investors and serves the world’s most essential fintech and technology companies. Together with our partners, we are reshaping global finance and financial inclusion.
We place a strong emphasis on our employees’ satisfaction and growth. We promote a work from home culture with people located all over the country, which allows our employees unparalleled flexibility to work where and when they want, with hours that are convenient for them. We strongly believe giving this freedom allows them to produce the best work possible.
We offer competitive compensation and benefits. Ongoing monthly knowledge sharing, training and career growth opportunities.
We are seeking people with a passion for cutting-edge technology, who enjoy a fast-paced and dynamic environment and want to work alongside other bright, talented people.
Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.
