Top 4 Financial modeler Jobs in Irving, Tx

Credit Risk Modeler
Genpact —Richardson, TX
- Temporary
- 3 years
- Finance
- SQL
Manager - Securities Lending Quantitative Modeler
Charles Schwab —Westlake, TX
- $91,800 - $165,000 a year
- Hybrid work
- 5 years
- Office
- Math
- Paid parental leave
- Employee stock purchase plan
Lead Actuarial Predictive Modeler
ACSC Management Services Inc —Coppell, TX
- Full-time
- 7 years
- Master's degree
- SQL
- Paid parental leave
- Health insurance

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Manager - Securities Lending Quantitative Modeler
Charles Schwab —Westlake, TX
Contribute to the future state of model development infrastructure and data patterns supporting scalable forecasting, pricing, and scenario analysis, while…
$91,800 - $165,000 a year

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Quantitative Modeler Manager - AML
U.S. Bank National Association —Columbus, OH
PhD in a quantitative field, and five or more years of related experience. Bachelor’s degree in a quantitative field, and 10 or more years of relevant…
$126,820 - $149,200 a year
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Credit Risk Modeler

Genpact -
Richardson, TX

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Job Details

Temporary | Contract

Qualifications

Stress testing simulations
MATLAB
Time series models
Basel Accords
Predictive modeling analysis
Financial model development
Credit risk assessment
SAS
Presentations for conferences or internal meetings
Banking analysis in risk and credit
Clustering algorithms
Financial client presentations
IFRS
SAS language
Survival analysis
SQL
Math
Logistic regression
Project management experience in finance
Portfolio stress testing strategy
Industry knowledge of financial regulations
Decision tree analysis
Time Series Analysis
Managing projects
Linear regression
Clustering
Project stakeholder communication
Python
Data analysis software
Stakeholder management

Full Job Description

We are looking for a risk modeling professional to deliver client facing projects/engagements in quantitative model development projects including full development, re-development, calibration and fit for use assessment of models in the risk and regulatory area. This would involve application of various industry best practices and techniques in risk modeling including but not limited to linear/ logistic regression, time series methods, Markov chain, survival modelling and machine learning techniques.

The selected candidate will work with leading banking clients to support varied model development needs in a fast paced environment, bring in critical thinking, expertise in modeling and industry best practices. Charter of the role spans:

Work hands-on for critical risk modeling projects as well support team’s project deliverables with statistical and domain expertise

Works hands-on in development, re-development and calibration of risk and regulatory models, including but not limited to Credit Decision Scorecards, Basel IRB – PD, LGD, EAD, Stress Testing, IFRS 9/CECL models
Develop presentations to be shared with senior client management
Data and quantitative analysis to support modeling decisions
Leading development of model methodologies, algorithms and diagnostic tools for testing model robustness, sensitivity and stability
Detailing model techniques and interpretation of variables used in the models to be documented and presented to client Stakeholders
Validation for the source data quality, forecast data quality as well as change management
Helping develop thorough technical documents for distribution and presentation to senior management, model developers, auditors and regulators
Bringing in industry best practices and consultative inputs to help deliver continuous value to client engagements in advanced risk analytics

Required Skills :

5+ years’ experience in BFS analytics, with 3+ years’ experience in credit risk modeling
Excellent knowledge of various statistical techniques and core hands-on experience in statistical modeling (Logistic Regression, GAM, Time series, Survival Techniques – Competing Hazard, COX proportional hazard, Clustering, CHAID/Classification trees Etc.)
Good client management and communication/presentation skills – written & verbal
Master’s degree in quant discipline - Statistics/Economics/Finance/Mathematics
Ambitious, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal direct supervision.
Expertise in SAS, SQL, Python
Hands-on experience in Machine Learning (Boosting, Bagging techniques) modeling is a plus
Experience in visualization technologies Tableau, Spotfire, MATLAB and SPSS is a plus
Ability to work independently on complex core modeling projects
Experience in credit risk/regulatory model development – CECL, IFRS 9, Stress Testing, AIRB
Consultative mindset and experience in client interfacing with strong interpersonal skills
Project management experience
Must be articulate and confident to manage senior stakeholder conversations

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financial modeler jobs in irving, tx

Credit Risk Modeler

Manager - Securities Lending Quantitative Modeler

Lead Actuarial Predictive Modeler

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