: The Berkeley Master of Financial Engineering Program <firstname.lastname@example.org> Date: Mon, Sep 29, 2014 at 9:03 AM Subject: For Students: The UC Berkeley Master of Financial Engineering Program To: email@example.com
This year we have a new career fair format which will include a 2 day event for College of Science students.
There are currently 90 employers scheduled to attend with more signing up each day. Employers such as Barracuda Networks, Hitachi Global Storage Technologies, Intel Security, KLA Tencor and the FBI are seeking students in the majors of Math, Science, Physics, Chemistry and Biology. Please encourage your students to attend.
Fall ’14 Engineering & Science Job & Internship Fair Day 1
TUESDAY, 9/23 *Noon-4 pm New Student Union Grand Ballroom
Over 35% have internship opportunities!
Fall ’14 Engineering & Science Job & Internship Fair Day 2
WEDNESDAY 9/24 *Noon-4 pm New Student Union Grand Ballroom
Over 15% have internship opportunities!
*Complete the online job fair success workshop to increase your marketability and to obtain an Early Bird Pass. Business casual or professional business dress strongly recommended. Flyer attached.
Finding a Career in Nonprofit or Government Panel (sponsored by NOVA)
Join us at this interactive, informative workshop and learn about the nonprofit and government field, job search strategies, and what nonprofit and government professionals look for when hiring new graduates!
W 10/8 12:30-1:30 pm Student Union, Ball Room A
Nonprofit and Public Service Forum (co-hosted by NOVA)
Come to this interactive networking event and get tips from employers on starting a career in the public service and nonprofit sectors. Learn about opportunities to serve your community through work with nonprofit organizations as well as local, state and federal government.
W 10/8 2:30-4:30 pm Student Union, Ballroom
Panel Discussion: Careers in Biotechnology
Gain valuable insights on careers and internships in the area of biotechnology.
TH 10/23 2-4 pm Student Union, Ballroom C
SPARTAJOBS Register with SpartaJobs There were 42% more job and internship opportunities through the Career Center last year over the previous year. Already registered? Log in and be sure your profile is updated and your latest resume is uploaded.
GET ONE-ONE HELP Find your coach. Take advantage of weekly drop-in hours, office hours, job and internship search labs and more to get YOUR career questions answered. The Career Center has a variety of ways you can get assisted with your job search needs. Check the calendar for appointment times and locations and all other events: http://www.sjsu.edu/
Here is a position available for someone with a masters in Math or Applied Math or Statistics.
Position: Quantitative Analyst
Company: Prescio Consulting, LLC
Location: Casa Grande, Arizona
Prescio is looking for a Quant to work within the Quant team in Casa Grande, Arizona.
Tasks include but are not limited to and may include training in:
- · Assist in development and validation of banking and financial markets projects involving credit risk model(s): Calculation and validation of Probability of Default, Loss Given Default and Exposure at Default; Develop recovery rate assumptions and exposure at default estimation and their ongoing validations and refinements.
- · Assist in development and validation of operational risk models: Apply LDA (Loss Distribution Approach) to calculate VAR (Value at Risk) for each business line and loss type of a financial institution; Develop methods to combine internal loss data with external data and scenario data; Apply EVT (Extreme Value Theory) to model and simulate heavy tailed data.
- · Assist in development and validation of market risk models: Implement historical simulation and Monte Carlo simulation to calculate VAR of portfolios.
- · Assist in the development and validation of fraud analytics suites: implement predictive analytics, machine learning, data mining and big data techniques to process a large data set and identify fraudulent transactions.
- · Assist in the development and validation of time series models used for business forecasting.
Required Skills / Education
- Ph.D. or MS in statistics, mathematics, applied mathematics, physics, engineering or a related quantitative field. Note: all applicants fairly considered.
- Good spoken and written English, ability to present complex subjects.
Experience applying statistical methods to quantitative problems
Experience in SAS, R, and/or any other programming languages
Prescio Consulting is a financial risk management consulting and IT development firm. Prescio has several decades of combined experience in fundamental and applied R&D, analytical product development in financial and commodity contexts, and customized software development and implementation. Prescio is a small business headquartered in Casa Grande, Arizona. Our reputation has been built on our speed of execution and quality of service. Prescio prides itself on loyalty to our employees. We hire for the long term. That being said, some of our former employees have garnered valuable work experience at Prescio before going on to find successful employment elsewhere.
Prescio Consulting will consider hiring foreign applicants with CPT or OPT time with the possibility of visa sponsorship if a good fit is established. Please mention your current visa status and your CPT/OPT time remaining.
Interested parties can contact firstname.lastname@example.org. Please include your name and the words “Quant Analyst” in subject line.
All students are invited to attend the Math Dept colloquium on Wednesdays at 3-4 in MH 320. There are usually refreshments preceding the talk in MH 331B. The talks are designed to be understandable to upper division math majors. Here is this week’s colloquium announcement.
The Math/Stats Colloquium is very pleased to present Gunnar Carlsson (Stanford) on “The shape of data”. “Big data” is a term describing the many aspects (e.g., storage, query capability, analysis) of the problem of how to make most
effective use of the enormous amounts of data currently being gathered. This talk will describe, and give numerous
examples of, a collection of recently developed methods for the analysis of large, high dimensional, and most
importantly, complex data sets. These methods use the mathematical notion of shape, as encoded in topological
methods, as a new tool in data analysis.
Background: One semester linear algebra. No prior knowledge of topology will be assumed.
Date: Wed Sep 10 Time and place: 3-3:50pm, MH320
** Talk starts promptly at 3pm ** (Snacks 2:30pm in MH331B)
Hope to see you there!
* Wed Sep 17: Thomas Church, Stanford
* Wed Sep 24: NO COLLOQUIUM (department meeting)
* Wed Oct 01: Elizabeth Gross, SJSU