Quantitative Analytics Specialist Job Vacancy in Wells Fargo Bengaluru, Karnataka – Updated today

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Company Name : Wells Fargo
Location : Bengaluru, Karnataka
Position :

Job Description : About this role:

Wells Fargo is seeking a Quantitative Analytics Specialist…

In this role, you will:
Develop, implement, and calibrate various analytical models
Perform highly complex activities related to financial products, business analysis and modeling
Perform basic statistical and mathematical models using Python, R, SAS, C++ and SQL
Perform analytical support and provide insights regarding a wide array of business initiatives
Provide solutions to business needs and analyze work flow processes to make recommendations for process improvement in risk management
Collaborate and consult with peers, colleagues, managers and regulators to resolve issues and achieve goals
Required Qualifications, International:
Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
PhD in statistics, mathematics, physics, engineering, computer science, economics, or quantitative field; or a Masters degree in the above areas
Responsibilities
Required to work individually or as part of a team on data science projects and work closely with business partners across the organization.
Perform various complex activities related to statistical/machine learning. Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals using emerging technologies including but not limited to Python, Spark, and H2O etc.
Ability to work with large datasets using SQL and present conclusions to key stakeholders.
Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions.
Build quick prototypes to check feasibility and value to business.
Develop and maintain modular code-base for reusability
Review and validate models and help improve the performance of the model under the preview of the banking regulations.
Work closely with technology teams to deploy the models to production.
Prepare detailed documentations for projects for both internal and external that complies regulatory and internal audit requirements
Essential Skills
Bachelors or Masters degree in Engineering field like computer science, Information technology, Electrical Engineering etc.
M.Sc./M.Phil. in statistics/economics/mathematics/ operations research engineering physics
3 – 6 years of relevant hands on experience in data science and advanced analytics.
Must have hands on exposure in Python and SQL.
Working knowledge of libraries like, sckit-learn, pandas, numpy, mllib, matplotlib, keras…
Proficiency in data mining and statistical analysis.
Experience in developing, implementing models.
Statistical models – linear regression, logistic regression, time series analysis, multivariate statistical analysis
Machine learning models – Random forest, XGBoost, GBM, SVM…
Exposure to deep learning framework – ANN,RNN, CNN, LSTM
Excellent understanding of model metrics including AUC, ROC, F-statistics etc. with clear understanding of how model performance is tuned
Strong programing skills.
Exposure in one or more of Big Data skills – SQL, Aster, Teradata, Hadoop, SPARK, H20, BigQuery.
Exposure to Google Cloud Platform
Critical thinking and strong problem solving skills
Ability to learn the business aspects quickly
Knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.is desirable
Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry is desirable
Ability to multi-task and prioritize between projects
Ability to work independently and as part of a team
Desired Skills
Working expertise in Tensorflow, Keras or Pytorch would be added advantage
We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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