Quantitative Analytics / Analysis Manager (Remote)
Location
Jersey City, NJ | United States
Job description
Req I:
Title : Model Risk Quant Analytics Manager (Cleveland, OH or Remote)
Terms of Hire: Full Time.
Salary: $ Open K/ YR + Benefits.
Job description ESSENTIAL JOB FUNCTIONS - Act as a member of the validation team to complete in-depth technical validations and reviews of models in the fraud, identity authentication, anomaly detection, amongst other functional areas.
- Leverage relevant industry expertise on fraud/authentication typologies and risks to evaluate model suitability for use and leveraging best practices for model use.
- Employ and assess advanced analytics and machine learning approaches for design sutiability, appropriate performance, and necessary diagnostics (e.g. optimization, hyperparameter tuning, interpretability, etc.)
- Review and challenge the conceptual framework, assumptions, limitations, technical soundness, fitness-for-use, and monitoring of Client’s high impact models.
- Verify the correct model implementation through review and understanding of version control software.
- Oversee critical projects on high impact models, plan and organize project scope, liaison with stakeholders, and evangelize on best practices.
- Mentor junior model validators within the team on best practices.
- Verify the model has been properly documented, and produce documentation of the validation testing and results robustly for internal and external communications.
REQUIRED QUALIFICATIONS - PhD/Master’s in computer science, mathematics, data science, statistics, applied mathematics, finance, economics, or other related field
- 3+ years of model development or model validation experience in high impact models within financial crimes and fraud applications (e.g. Fraud, Identity Authentication, Anomaly Detection, , etc.)
- 7+ years of model development or model validation experience preferred (relevant academic experience can be considered)
- Strong working knowledge of Python, R, Matlab or other programming languages for computational/statistical learning
- Advanced knowledge of data science, machine learning, statistics, mathematics and artificial intelligence theory and applications
- Preferred experience with productionizing machine learning development, monitoring and implementation in cloud technologies (e.g AWS, GCP, Azure, or others)
- Preferred experience with modern data pipelining practices and tools (e.g. Data Proc, BigQuery, Spark/PySpark, and others)
- Excellent written and oral communication skills
- Proficiency in the use of Microsoft Office
- Ability to perform multiple tasks simultaneously to meet strict deadlines
- Mentoring experience of junior staff experience
- Effective working both independently and as a team-member
Req 2:
Title : Sr. Manager, Quantitative Analysis - Mortgage (Cleveland, OH or Remote)
Terms of Hire: Full Time.
Salary: $ Open K/ YR + Benefits.
Essential Job Functions
- Leading the development of the Credit Loss Forecasting models, including supporting the implementation of modeling and analytical methodologies
- Coordinating analysis and responses to Internal Model Risk Validation and External Auditors from the Federal Reserve and the OCC
- Working closely with the Finance Management team as well as other critical stakeholders to shape and prioritize the modeling and analytical work efforts and plans
- Providing advice and recommendations to business leaders within the company to ensure the highest standards of practice, including the incorporation of credit loss forecasts into the ongoing evaluation of risk
- Performing complex quantitative and thoughtful qualitative assessments on all aspects of models including theoretical decisions, model design and implementation as well as data quality and integrity
- Building and leading a team, providing professional guidance to highly skilled workforce, and establishing plans and development goals to promote growth and success of the team and individuals
Required Qualifications
- 5+ years of risk modeling and analytics experience and industry knowledge in Home lending within financial services
- Prior experience in developing CECL models is a strong plus
- Preference for PhD or MS in quantitative field: finance, econometrics, mathematics, physics, engineering
- Excellent communications skills – internally and externally, including with regulators
- Experience in Python / SAS / R building credit loss models
- Experience in developing and defining analytical methodologies
- A leader and a motivator – who can recruit, retain and advance great people
- A relationship builder, who can establish trust and credibility across the organization as well as with regulators and other critical external constituents
- Impeccable integrity, sound judgment, and strategic vision
You Will Enjoy:
- An opportunity to be a part of a great culture, an awesome team, a challenging work environment, and some fun along the way!
- Apply today to learn more and be part of our Growth story.
All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions.
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