Wells Fargo is seeking a Senior Quantitative Analytics Specialist…
In this role, you will:
- Perform highly complex activities related to creation, implementation and documentation
- Use highly complex statistical theory to quantify, analyze and manage markets
- Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
- Utilize structured securities and provide expertise on theory and mathematics behind the data
- Manage market, credit, and operational risks to forecast losses and compute capital requirements
- Participate in the discussion related to analytical strategies, modeling and forecasting methods
- Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
- Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills
Required Qualifications, US:
- 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master’s degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
Required Qualifications, International:
- Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master’s degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- Excellent understanding of data wrangling and preparation techniques both in single and multithreaded systems in Pandas, Numpy, RDD and spark data-frame
- Excellent command over supervised, unsupervised and semi-supervised techniques including but not limited to Random Forest, GBM, Ridge-Lasso-ElasticNet, XGboost etc. Time-series techniques like Arima (and the family), Arch, Garch etc.
- Experience with Deep-learning, Artificial intelligence techniques like ANN, CNN, DNN, RNN etc. and how to strategize deep-learning layer and activations.
- Experience implementing machine learning algorithms such as support vector machines, decision trees, logistic regression, clustering, neural networks, graphical models etc.
- Excellent understanding of model metrics including AUC, ROC, CAP-curve, F-statistics etc. with clear understanding of how model performance is tuned
- Strong programing skills.
- Expertise in analytic tools : R, Python,SAS
- Big Data skills – Aster, Hadoop, SPARK, H20 and various big data distributions like Hortonworks and MapR
- NLP, Text mining, Image/Voice processing, digital analytics, deep learning, machine learning
- Demonstrate excellent organization skills throughout the development of analytical solutions (data analysis documentation, hypothesis documentation, code management, etc.)
- Data Engineering Sql ,Teradata, Hadoop, Spark
- Advance Excel skills
Job Expectations:
- Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.
- He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.
- Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution for the bank.
- Define business problem and translate it into analytical problem.
- Adapt at attracting, hiring and retaining top notch data science talents and build world class team
- Help create conducive environment for nurturing and growing talents.
Department Overview
EADS is the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo’s analytic community. We are looking for a high performer to join our team and help us solve challenging and interesting business problems through rigorous data analysis and predictive modeling. In this highly consultative and visible role, you will support development analytic projects from multiple business lines using various technology and techniques ranging from but not limited to supervised, unsupervised and semi-supervised machine learning, deep-learning, NLP, optimization algorithms.
About the Role
This is a partner-facing role and is responsible for delivering high impact analytic and data science projects across enterprise functions (DMI & COO)
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, or national origin.
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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