Quant Model Solutions - Hyderabad, India - Wells Fargo

Wells Fargo

Verified Company

Hyderabad, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Wells Fargo's Corporate Model Risk (CMoR) organization is seeking a highly qualified person to join its Advanced Technologies for Modeling (AToM) Group as a Senior Quantitative Solution Engineer.

The responsibilities of the AToM group include development of cutting-edge models, algorithms, and visualization tools to advance the Bank's practices in the areas of credit, operational, and market risk management.

Helping to develop the architecture and foundational components of our model risk platform, developing fully operational prototypes, and deploying them in collaboration with our Technology partners.
Enhancing our Computing Cluster by implementing additional modeling and data science capabilities.
Providing guidance to the broader CMoR community on best engineering practices to run modeling and analysis at scale.

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Essential Skills:

58 years of experience with Master's Degree or equivalent in computer science, electrical engineering, data science, or another discipline with a strong quantitative core and extensive exposure to software engineering or scientific computing.
Handson experience and deep knowledge in the areas of large scale system development, data engineering and computeintensive systems, with a track record of success in delivering systems into production.
Experience with distributed scientific computing frameworks such as Spark, Dask, or Ray.
Experience with objectoriented programming and design patterns. Intermediate or advanced programming skills in Python and a system language (e.g. Go, Java, C/C++, Rust).
Experience using DevOps tools such as GitHub, CI/CD (Jenkins), and build tools (autotools, cmake, setuptools_, etc.).
Experience building and maintaining virtual environments (Conda).
Experience developing and implementing unit and integration tests.
Intellectually curious, with a strong ability to solve practical problems.

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Desired Skills:

Understanding of common machine learning frameworks (e.g. scikitlearn, Tensorflow, PyTorch) and machine learning pipelines (e.g. MLFlow, Kubeflow, Airflow, and TFX).
Familiarity with Unix command line tools.
Experience developing Python packages on Windows architecture.
Experience in public/private cloud, containerization (docker and Kubernetes), and scalable architecture.
Knowledge of serviceoriented architectures, microservices, REST APIs, modern RPC, message queue, and NoSQL databases.
Strong verbal and written communication skills as well as interpersonal skills.
Ability to prioritize work, meet deadlines, achieve goals, and work in a dynamic and complex environment.
Ability to develop partnerships and collaborate with other business and functional areas.
Perpetual interest in learning something new, with a focus on delivering tangible results.

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 appetite and all risk and compliance program requirements.

Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.