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Quantitative Model Solutions Associate

5 months ago

Hyderabad Telangana, India Wells Fargo Full time

**Job Description**:
**In this role, you will**:

- Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation
- Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives
- Advise and guide team on moderately complex model optimization and processes strategies
- Gain full understanding Model execution and controls on the theory and mathematics behind the analyses.
- Independently resolve complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements.
- Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals.

**Required Qualifications**:

- Experience in providing quantitative solutions, model solutions, quantitative model operations, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
- Overall experience around 4+ years in credit risk modeling roles, model implementation, production and model monitoring
- Bachelor's degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
- 2-4 years of advanced programming expertise in SAS and Python
- Experience in regulatory models for CCAR Stress testing, CECL, IFRS9, RRP, FCM, Basel Models and understanding of SR 15-18 and SR 11-7 guidelines.
- Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment.
- Remarkable problem-solving skills, review materials / model results with an eye to detail.
- Excellent verbal, written, and interpersonal communication skills
- Strong ability to develop partnerships and collaborate with other business and functional areas

**Desired Qualifications**:

- Advanced knowledge of times series analysis (ARIMAX, VAR, etc.), econometrics (Parametric or non-parametric regression, ECM, etc.), macroeconomic theory and statistical methods (Hypothesis testing, Inference, cross-validation, bootstrapping, etc.)
- Experience in machine learning algorithms such as support vector machines, decision trees, logistic regression, clustering, neural networks, graphical models etc.
- Experience in supervised, unsupervised and semi-supervised techniques for both structured and unstructured data including but not limited to RandomForest, GBM, XGboost etc.
- Deep learning techniques like Torch, Tensorflow, RNN (LSTM, Transformers, Attention), CNN, DNN, etc.
- Experience in large-scale end-to-end machine learning systems, using both traditional and big data tools, high performance scientific computing, optimization and computing platforms such as Hortonworks, MapR, Spark etc.
- Ability to research and report on a variety of issues using problem solving skills.
- Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.

**Job Expectations**:

- Primary role is to perform highly complex activities, advanced analytics, related to creation, validation, monitoring, implementation, documentation, articulation and defense, on-going maintenance of complex models grounded in highly statistical theory used to quantify, analyze and manage credit risks or to forecasts losses and compute capital requirements or enable decision making in business, product or other functional areas.
- Duties typically include implementing, validating and documenting analytical models and strategies for short and long-term objectives, performing analytical support and/or modeling, and providing well-articulated insights regarding a wide array of business initiatives.
- This may involve recommending advances in modeling methodologies and/or overall modeling approach/ infrastructure, high performance computing.

**Posting End Date**:
7 Feb 2024

**Job posting may come down early due to volume of applicants.**

**We Value Diversity**

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appeti