EECS Announcements 10/2/08

General Events
Biotech and MS/PhD Career Fairs

Upcoming Infosessions and Workshops
Pixar, Intuit

Undergraduate Research Information
Energy Project

Career/Job Information
Citadel, Credit Suisse


General Events (Back to Top)

PhD Ops at this week’s Biotech and MS/PhD Career Fairs

Interested in professional options in business, government, and the non-profit sectors? This week brings more recruiters to campus interested in Berkeley advanced degree holders than any other. Take time to visit the

Biotech & Bioengineering Career Fair
Wednesday, October 1 12-4pm
MLK Jr. Student Union, Pauley Ballroom, 3rd floor

MS & PhD Career Fair
Wednesday, October 2 12-4pm
MLK Jr. Student Union, Pauley Ballroom, 3rd floor

To view this year's Fair Directory, which lists participants' information, login to Callisto ( http://career.berkeley.edu/Callisto/Callisto.stm) and look under Quick Links on your desktop. This information is updated up to the day of the fair - be sure to check frequently.

Andrew Green, PhD
Assistant Director & PhD counselor
Career Center
University of California, Berkeley
career.berkeley.edu

(510) 642-1714

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Upcoming Infosessions and Workshops (Back to Top)

Hi EECS students,

The Industry & Public Relations Office and the CSGSA are delighted to invite you to the Pixar Infosession. Check out the flyer soon to be posted around Soda/Cory. Details are:

What: Pixar Infosession: A Cool Presentation and Q&A
When: Monday Oct 6, 5-7pm
Where: Hogan Room (level 5, 521 Cory Hall)
Why: Free food, Recruiting for technical interns & residents for the Winter/Summer 2009 sessions

See you there! - Ben (CSGSA Industry Liaison Committee)


Intuit Student Recruitment Infosession

October 7 | 5-7 p.m. | Cory Hall, Hughes room (400)

Learn about Intuit’s Software Engineering Full-time & Internship Opportunities

Refreshments: Food will be provided!

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Undergraduate Research Information (Back to Top)

Research opportunity in energy project

Wind and solar power will be a major component of our future energy supply. However, the variability of wind and solar power supply will cause many problems to power grid operations. Our group is developing a solution to this problem by coupling consumers who can delay their demand for power with renewable generators.

Our group is looking for students who will help us assemble a HARDWARE demo of the project idea. There will be bench space allocated in a Mechanical Engineering lab for assembling the hardware. Interested students should be

The research position will include a choice between stipend and research credits and the project will offer publication opportunities and an interesting exposure to energy - related research. The project is conducted with the support of the Department of Industrial Engineering and Operations Research, the Mechanical Engineering Department, Big Ideas and CITRIS.

If you are interested or would like additional information about the project, please contact Anthony Papavasiliou at .

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Career/Job Information (Back to Top)

Citadel Investment Group

A prestigious financial institution or a premier technology firm? Yes.

Citadel Investment Group is looking for strong software developers to join our Financial Technology Associates Program. The program begins with in-classroom training which includes the following components to quickly and successfully integrate new graduates into the firm:

The Financial Technology Associates Program is for exceptional students who want to apply their software development skills to the Finance industry. This program provides the opportunity to solve complex business problems using technology in the alternative investment industry.

If you are interested in learning more about Citadel, please do not hesitate to reach out to Kate Nurczynski at .

Our on-campus interviews are being held Tuesday, October 7 so please reply as soon as possible.


Credit Suisse- Firm Overview

As one of the world’s leading banks, Credit Suisse provides its clients with investment banking, private banking and asset management services worldwide. Credit Suisse offers advisory services, comprehensive solutions and innovative products to companies, institutional clients and high-net-worth private clients globally, as well as retail clients in Switzerland. Credit Suisse is active in over 50 countries and employs approximately 40,000 people. Credit Suisse’s parent company, Credit Suisse Group, is a leading global financial services company headquartered in Zurich.

In its Investment Banking business, Credit Suisse offers securities products and financial advisory services to users and suppliers of capital around the world. Operating in 57 locations across 26 countries, Credit Suisse is active across the full spectrum of financial services products including debt and equity underwriting, sales and trading, mergers and acquisitions, investment research, and correspondent and prime brokerage services. Our commitment to providing outstanding service to our clients, along with our focus on teamwork, diversity, and excellence, means the recruitment of the best and brightest people is essential to our success.

Application Instructions

Below you will find descriptions of opportunities that are available for full-time positions as well as summer internship positions. Summer internship opportunities will begin in June 2009 and full-time opportunities will begin in July 2009. After carefully reading each description, you can apply to the job that interests you the most at your career services office, or by submitting your resume to . If you have any questions, please email .

FULL-TIME OPPORTUNITIES SECURITIES QUANTITATIVE ASSOCIATE PROGRAM
Global Modeling and Analytics Group (GMAG) – Associate

Description

The Global Modeling & Analytics Group (GMAG) is responsible for producing state-of-the-art pricing, trading and risk management models for Credit Suisse. These models are used across a range of business in the Securities Division. The group’s mandate covers all major asset classes, including Credit Derivatives, Commodities, Emerging Markets, Equity Derivatives and Convertibles, Exotics, Foreign Exchange, Fund Linked Products, Interest Rate Products and Mortgage Derivatives. GMAG operates globally with 140 members located in New York, London, Hong Kong and Tokyo.

Established in 1990, GMAG enjoys a strong relationship with Trading, Structuring and Sales and over time has developed an extensive suite of pricing models and analytics libraries. As the group is based on the trading floor, it is ideally placed to respond to the financial modeling needs of the businesses it supports. New Associates will join one of four specialist modeling teams in GMAG (e.g. Equities, Foreign Exchange, Interest Rates, and Credit) as a Financial Modeler or in our Architecture and Delivery team as a Quantitative Developer. As a Financial Modeler, you will be responsible for the design, implementation and delivery of sophisticated mathematical models for the valuation of derivatives, supporting the use of our existing models as well as collaborating with trading and structuring teams on the pricing of new trades, analyzing risk and investigating hedging strategies. Our Financial Modelers typically hold an advanced quantitative degree, have strong programming skills and are confident communicators. As a Quantitative Developer, you will be focusing on development of state-of-the-art pricing and risk infrastructure, designing innovative tools for rapid model deployment and producing complex components for high performance computing applications. Our Quantitative Developers typically hold an advanced Computer Science or Engineering degree, are expert programmers and have strong algorithm design skills.

Both roles require a talent for creating innovative and practical solutions to real problems, the ability to work effectively as part of a team and a desire to continue learning new modeling techniques or technologies. Prior knowledge of financial modeling or experience in the banking industry is not required.

Training

Your career with us begins with the GMAG Training Program, an intensive, 12 week course of seminars, discussions and practical exercises to introduce you to the principles of financial modeling, the existing library of GMAG models, as well as our development platform. The GMAG Training Program, has been developed inhouse by senior members of the group for the benefit of new joiners, is taught by experienced modelers and is continually updated to reflect recent innovation.

While participating in the Training Program, you will already be taking part in the work of one of the product teams and attending regular team meetings with your colleagues globally. Following the completion of the Training Program, you will start a mentored project under the supervision of an experienced colleague, thereby gaining in-depth exposure to a particular modeling and business area. Successive projects will introduce you to the full range of skills and techniques required to advance your career within GMAG. In addition, continuous learning is actively encouraged through a wide variety of initiatives including internal and external seminars and conferences, product area rotations within GMAG and joint project work.

Because of its size and breadth of mandate, GMAG offers an unusually wide range of career opportunities. Some members choose to specialize in their own product area while others rotate to a different product area or move to a different center. This provides the team members with new learning opportunities and promotes cross-fertilization of ideas across the group. While the large majority of GMAG members tend to stay with the group for the long term, there are also opportunities to leverage the skills learned in GMAG and transfer to trading or structuring.

Qualifications

You will have earned or be studying to obtain a PhD in a quantitative field such as Mathematics, Physics, Engineering, Computer Science, Operations Research, or Finance - Prior knowledge of finance is not required, however, candidates should have a genuine interest in the area and should be able to demonstrate highly advanced mathematical modeling skills - Programming experience and exposure to algorithms is generally desirable and required for certain areas in our business. In addition, strong interpersonal and communication skills, a team-player with a positive co-operative attitude, good organizational skills and the ability to work on multiple projects simultaneously and fluency in English are essential.


Proprietary Trading – Associate

Description

Proprietary Trading involves making educated bets using Credit Suisse’s balance sheet, much like an internal hedge fund. In the dynamic and highly competitive capital markets, the main challenge is to constantly improve upon existing models and expand into new areas. As a significant market player, Proprietary Trading group’s research, develop, and run a wide variety of quantitative trading strategies including index arbitrage, statistical arbitrage, high frequency market making, and market neutral relative value.

Training

New associates in Proprietary Trading will take part in the firm-wide Analyst and Associate Training Program. This program includes a broad range of core skills training such as Accounting and Economics as well as specific financial products training in Equity and Fixed Income. At the end of the Associate Training Program, new associates will work with the desk they are hired for with their manager and will be given a task that best leverages the talents that he/she has thus far demonstrated. Associates will be increasingly challenged in a fast paced environment as they prove themselves.

Qualifications

There is no standard template to be a successful Proprietary Trader. Many of the current members of Proprietary Trading have distinguished themselves academically through their participation in Mathematics or Programming Contests or Olympiads, or original academic research and publications. They are also able to explain their thought processes, however complex, in a clear concise fashion. We are looking for individuals that have strong quantitative backgrounds that are able to learn quickly on the job. Individuals who show the ability to program, a passion for trading or watching financial markets, original insight into the functioning of the markets, or intellectual honesty will be attractive candidates. While we generally hire PhDs with degrees in Computer Science, Physics, Mathematics, or Econometrics, we are also open to other fields; but it would be up to candidates to defend why their field is relevant to trading. We are extremely selective, and even more selective amongst candidates whose degree is not of a quantitative nature.


Quantitative Trading and Derivatives Strategy (QTDS) – Associate

Description
As a member of the Equity Derivatives Strategy front office team, responsibilities include generating ideas for trading derivatives, marketing to institutional and hedge fund clients, formulating and publishing volatility research, and developing quantitative systems.

Training
New associates participate in Credit Suisse’s in-house Training Program which introduces participants to the world of finance across all principal markets and asset classes. Candidates will be trained and become skilled across disciplines such as financial modeling, derivative mathematics, traded markets, and the use of the firm’s front office systems.

Qualifications
The ideal candidate will have experience with risk arbitrage, portfolio analytics, and derivatives theory and practice. Knowledge of C++/C#, VBA, etc is required. In addition, candidate must have strong communication, writing, sales, and marketing skills. Candidate must be a self-starter who is creative, sociable, and capable of coming up with original ideas and defending them.


Risk and Quantitative Analysis Group - Associate

Description
The Risk and Quantitative Analysis group (RQA) is a front office group that provides quantitative support to business leaders in order to optimize business, trading and hedging decisions. The team builds tools and analytics to assist the trading desk and risk managers in hedging risk, evaluating risk exposures, investigating profit and loss decomposition, and analyzing the appropriateness of pricing methodologies. Team members work alongside traders and management to identify potential improvements in the calculation of risk exposures, design scenario analyses, help optimize the allocation of risk capital, and ensure the suitability of the valuation framework. RQA is organized along product lines and sits with the trading groups. RQA reports up through the Securities division’s chief risk officer. Qualifications

Qualifications
The RQA group is looking to recruit outstanding quantitative individuals to join our team. Applicants must be final-year candidates at a university, studying to obtain a PhD in a quantitative field such as Mathematics, Physics, Engineering, Computer Science, Operations Research, Econometrics, or Quantitative Finance. In addition to an advanced quantitative degree, candidates should be able to demonstrate highly advanced mathematical modeling skills; experience with probability, statistics, linear algebra, signal processing, and optimization are all helpful. Programming experience and exposure to algorithms is generally desirable and essential for certain areas of our businesses. Prior knowledge of finance is not required; however, candidates should have a genuine curiosity of and demonstrated interest (coursework, work experience) in the financial markets.

These technical skills need to be balanced against a number of personal attributes such as: a pragmatic approach to problem solving; an ability to explain complex and/or technical matters clearly, accurately, and simply; and a high level of interpersonal skills, including being proactive and delivery focused, for close contact with the Trading team and senior management.


SUMMER OPPORTUNITIES

SECURITIES QUANTITATIVE SUMMER INSTITUTE (QSI)
Investment Banking

In its Investment Banking business, Credit Suisse offers securities products and financial advisory services to users and suppliers of capital around the world. Operating in 57 locations across 26 countries, Credit Suisse is active across the full spectrum of financial services products including debt and equity underwriting, sales and trading, mergers and acquisitions, investment research, and correspondent and prime brokerage services. Our commitment to providing outstanding service to our clients, along with our focus on teamwork, diversity, and excellence, means the recruitment of the best and brightest people is essential to our success.

The Position
The Quantitative Summer Institute (QSI) is a 10-week internship program from June to August which provides interns with an opportunity to gain first hand experience of quantitative modeling and/or development work at a top tier investment bank. The program is run simultaneously in our London and New York offices during the summer. It is primarily targeted at quantitative candidates holding or pursuing a PhD in fields such as Mathematics, Physics, Engineering, Computer Science, Operations Research or Quantitative Finance, although exceptional candidates holding or pursuing a Masters degree or equivalent will also be considered.

The QSI program is sponsored by the Global Modeling and Analytics Group (GMAG), and the Fixed Income Research group. Candidates will need to select the sponsoring group at the time of application. GMAG is responsible for producing state-of-the-art pricing, trading and risk management models for Credit Suisse. These models are used across a range of businesses in the Fixed Income and Equity departments. The group performs the full spectrum of quantitative work, from mathematical modeling through software implementation and delivery, to risk analysis of trades and existing portfolios. The group’s mandate covers all major asset classes, including Credit Derivatives, Commodities, Emerging Markets, Equity Derivatives and Convertibles, Exotics, Foreign Exchange, Fund Linked Products, Interest Rate Products and Mortgage Derivatives. GMAG operates globally with over 100 members located in New York, London, Hong Kong, Tokyo and São Paolo. The Fixed Income Research Group is responsible for the whole gamut of Fixed Income and Economic Research: from the macroeconomic and political analyses of a single country or region, to a detailed analysis of a single corporate or industry, through the right price of a single security or derivative transaction. It has an active research program on demographics as well as performing complex optimization of credit portfolios so that pension funds can better manage their risks. Credit Suisse is particularly known for its excellence in global macroeconomics, strategy, and foreign exchange research, in both developed and emerging markets. In addition, the firm has pre-eminent credit and securitized asset research.

The QSI program is divided into two distinct 5-week modules: a training module for all participants, followed by individual desk placements with the chosen sponsoring group.

The training module consists of seminars and exercises to introduce participants to the principles of financial modeling, key derivatives markets and products, as well as practical training on GMAG’s core models and technologies. It is based on the GMAG Training Program, which has been developed in-house over many years and is taught by experienced modelers. These practical exercises make use of the same models and tools that are used by Traders and Structurers throughout the bank.

The individual desk placements give participants a valuable opportunity to contribute to a real world project relevant to the sponsors. During the placements, interns will sit with the sponsoring group and interact closely with their new colleagues, both professionally and socially. Interns will be expected to present the results of their project to a panel of senior quantitative sponsors at the end of the program. The QSI program takes place at the same time as Credit Suisse’s traditional Analyst and Associate Summer Programs, and as such, QSI interns will also participate in a variety of social and corporate events organized by the Graduate Recruitment Department. It is expected that successful QSI interns will be invited to join their sponsoring group for a full-time position at the end of their studies.

Qualifications

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