Advancing the Field of Quantitative Finance
formerly the IAFE

Job Board


Assistant Director - Investment Data Analytics

Cleveland Clinic Investment Office

Cleveland, OH

(posted 05/17/2017)

Job Description
The Role:
Leads and supports investment data analytics within CCIO.


Responsibilities:

Designs and manages databases to support the investment office of about $9 billion of assets under management.

Ensures efficient data flows between various investment management systems including but not limited to custodian systems, Dynamo, eVestment, Tableau and Bloomberg.

Provides complex data analysis and displays analytical outputs visually through charts and other graphics to convey messages effectively.

Works as part of the Operations, Risks & Performance team to support the Investment teams oversee portfolio management and implementation

Assists in the development, maintenance, and enhancement of proprietary financial models to aid investment portfolio analytics

Independently utilizes asset modeling software to model and understand the risks embedded in our portfolios

Designs and performs cash flow simulations using different scenarios (e.g., private equity cash flow modelling, interest rate changes)

Assists in creating the infrastructure to support asset modeling that better reflect the risk characteristics of the portfolios while facilitating portfolio management decision making


Qualifications
EDUCATION:

Bachelor's degree in accounting, finance, Business, Mathematics or related field. Master's degree preferred.

LICENSURE/CERTIFICATION/REGISTRATION:

Pursuit of CFA/CAIA/FRM designation is highly recommended and preferred


Other Information
Cleveland Clinic Investment Office Overview
The Cleveland Clinic Investment Office (CCIO) is stewarded by the Investment Committee of the Board of Directors. Guided by the Investment Policy Statement for each of the investment portfolios, CCIO invests across a globally diversified pool of asset classes and employs many of the world’s most successful investment managers for security selection of public and private equities, fixed income, absolute return strategies, real assets and derivative products. CCIO is a values-driven organization. From its inception in 2015, the Investment Committee and senior leadership sought to create a division of the Cleveland Clinic whose foundation is excellence and innovation. The Investment Office embraces a generalist model of investing where a team of experts are focused on delivering value to the total portfolio, engage in constructive debate, thrive on collaboration, embrace a sense of personal humility, and seek to continuously improve. CCIO is responsible for managing and growing the $9 billion investment portfolio.


Organization Description
Cleveland Clinic Overview:
The Cleveland Clinic is a multispecialty academic hospital center that integrates clinical and hospital care with research and education. With more than 4,450 beds, Cleveland Clinic is one of the largest and most respected health systems nationally and internationally. The Cleveland Clinic's main campus consists of 41 buildings on 160 acres. It also operates 18 family health and ambulatory surgery centers in surrounding communities. In addition, Cleveland Clinic has affiliated facilities in Florida, Nevada, Canada, and Abu Dhabi.

The Cleveland Clinic was founded in 1921 in Cleveland, Ohio by four renowned physicians with a vision of providing outstanding patient care based upon the principles of cooperation, compassion and innovation. The founders wanted to form a group practice in which individual members would share clinical expertise and specialization and would dedicate themselves to the education of future medical practitioners. It would also be a place where innovations in medical procedures and practices would be encouraged through basic and applied research activities. The four founders also envisioned a corporate structure that would support their vision. It involved the oversight and direction by a separate board of community trustees in matters unrelated to patient and medical practice issues.

“Patients First” is the guiding principle of Cleveland Clinic. It declares the primacy of patient care, comfort and communication in every activity they undertake. It affirms the importance of research and education for the improvement of patient care. “Patients First” also demands a relentless focus on measurable quality. By setting standards, collecting data, and analysing results, Cleveland Clinic puts patients first through improved outcomes and better service, providing a healthier future for all. Cleveland Clinic operates as an integrated and cooperative group practice, as an academic medical center and as an active research institute.

Attentiveness to innovative research, education, and high quality treatment is of key importance. The Cleveland Clinic most recently recorded 5.9 million total visits, serving some of the highest acuity patients who come from across the United States and 147 countries around the world. As one of the largest and most respected hospitals in the country, Cleveland Clinic is consistently named as one of the nation’s best hospitals in U.S. News & World Report’s “America’s Best Hospitals” survey, with a heart and surgery program that has been ranked No. 1 each year since 1995.

Cleveland Clinic has a distinctive culture, shaped by its focus on the patient, its commitment to quality care and innovation, and its physician-led practices. It has an egalitarian culture with 3,200 physicians and scientists on staff, representing 120 specialties and subspecialties. From 1921 to the present, the Cleveland Clinic has always employed and salaried its physicians and Ph.D. scientific investigators without incentive compensation. Specialization and sub-specialization have characterized the practice and growth of the Cleveland Clinic, while its commitment to the integration of research and education into a dynamic healthcare practice has allowed Cleveland Clinic and its physicians and researchers to make many important contributions to the practice of medicine over the years.


How to Apply
Please apply for this position by accessing the following link:

https://ccf.wd1.myworkdayjobs.com/ClevelandClinicCareers/job/CC-Administrative-Campus/Assistant-Financial-Director-Investment-Operations_8585-1


Last Day to Apply
May 21, 2017

Senior Project Director - Quant

Adelphi Research

Doylestown, Pennsylvania

(posted 04/21/2017)

Job Description
If it’s less about the job and more about the opportunity for you, and you’re interested in long-term career advancement, let’s talk! If you’re both a critical thinker and listener, curious, passionate, interested in stretching yourself by growing and refining your skills then we seriously need to talk.

What you need to possess as a Quantitative Senior Project Director:

Ability to manage and execute all aspects of quantitative pharmaceutical marketing research projects with limited guidance and supervision

Working knowledge of the pharmaceutical industry, and an understanding of market research needs of pharmaceutical and biotech products at various stages of the product life cycle

Skilled in quantitative study design, and understand a wide variety of statistical methodologies

Able to work on and contribute to several projects simultaneously, including as a lead project director

Develop and maintain client relationships, demonstrating good judgement and client management skills

Adept at data analysis; able to communicate and interpret findings for simpler studies (e.g., maps, relative/derived importance)

Skilled in creating ‘near final’ reports with minimal edits to layout/charts, minimal guidance from senior staff

Partner with senior staff as a first Project Director on more complex studies, including challenging treatment areas, segmentation studies, etc.

Works effectively as a team member within a highly collaborative working environment

Understand qualitative processes, analysis, and report deliverables


Qualifications
Bachelor’s degree essential; advanced education an advantage

3-5 years’ experience as a market researcher, pharmaceutical experience a plus


Organization Description
Adelphi Research is a leading global pharmaceutical market research company, providing top pharmaceutical and biotech companies with innovative custom primary qualitative and quantitative market research with a particular focus on high-level strategic projects in complex therapeutic areas.

How to Apply
Please use the link below to apply through ZipRecruiter:

https://www.ziprecruiter.com/job/70aaef41



Last Day to Apply
TBD

Post-doctoral Fellowship in Computational Finance

Technological Institute of Aeronautics (ITA)

Sao Jose dos Campos-SP, Brazil

(posted 04/12/2017)

Job Description
A Post-Doctoral fellowship position is available at the Technological Institute of Aeronautics (ITA) in Brazil. The researcher will be involved in the project “Employing computational intelligence techniques and big data analytics in a multi-agent system experiment of finance”, a collaboration between ITA and the University of Essex, UK. This project and the PD fellowship are funded by FAPESP (São Paulo Research Foundation, fapesp.br/en/postdoc).

This research intends to employ different computational intelligence techniques (reinforcement learning, genetic algorithm and fuzzy logic) and big data analytics in a multi-agent system experiment (agent-based model simulation of a double auction market) of finance. This research has the following objectives: 1) to investigate the ability of reinforcement learning to model the agent's learning and evolution process in the financial markets, 2) to study the use of multi-criteria performance indexes in order to model the agent's learning process, and 3) to analyse the consequence of this agent's behaviour to the financial markets as a whole.

Qualifications
Candidates must have obtained their PhD degree in Computational Finance or in a similar field of study less than seven years before the beginning of the PD fellowship, and have expertise in computational finance, artificial intelligence, data analytics and multi-agent systems. Fluency in English and ability to work within interdisciplinary teams are also mandatory. Previous experience in the financial market micro-structure is desired but not mandatory.



Other Information
See fapesp.br/en/postdoc for additional candidate's requirements and obligations.

Organization Description
The Instituto Tecnológico de Aeronáutica (ITA; English: Technological Institute of Aeronautics[1]) is an institution of higher education and advanced research with emphasis in aerospace science and technology maintained by the Brazilian Federal Government with the support of the Brazilian Air Force. It is located in São José dos Campos, Brazil. ITA is rated as one of the top and most prestigious engineering schools in Brazil.

The school's admission exams for its undergraduate courses (called vestibular in Brazil) are considered to be the most competitive in the country, and take place annually in over 25 cities throughout Brazil. Its undergrad program acceptance rate in 2016 was only 1.12% (140 accepted students out of 12493 nationwide applicants [2]).

How to Apply
Applications should be submitted only by e-mail. Those interested should send letter of interest, curriculum vitae and at least one letter of recommendation to the project's Principal Investigator, Dr. Cairo Nascimento (cairo@ita.br).

Last Day to Apply
May 2, 2017

Post-doctoral Fellowship in Computational Finance

Technological Institute of Aeronautics (ITA)

Sao Jose dos Campos-SP, Brazil

(posted 04/12/2017)

Job Description
A Post-Doctoral fellowship position is available at the Technological Institute of Aeronautics (ITA) in Brazil. The researcher will be involved in the project “Employing computational intelligence techniques and big data analytics in a multi-agent system experiment of finance”, a collaboration between ITA and the University of Essex, UK. This project and the PD fellowship are funded by FAPESP (São Paulo Research Foundation, http://www.fapesp.br/en/postdoc).

This research intends to employ different computational intelligence techniques (reinforcement learning, genetic algorithm and fuzzy logic) and big data analytics in a multi-agent system experiment (agent-based model simulation of a double auction market) of finance. This research has the following objectives: 1) to investigate the ability of reinforcement learning to model the agent's learning and evolution process in the financial markets, 2) to study the use of multi-criteria performance indexes in order to model the agent's learning process, and 3) to analyse the consequence of this agent's behaviour to the financial markets as a whole.

Qualifications
Candidates must have obtained their PhD degree in Computational Finance or in a similar field of study less than seven years before the beginning of the PD fellowship, and have expertise in computational finance, artificial intelligence, data analytics and multi-agent systems. Fluency in English and ability to work within interdisciplinary teams are also mandatory. Previous experience in the financial market micro-structure is desired but not mandatory.

Other Information
The monthly stipend of the FAPESP post-doctoral fellowship is R$ 6.819,30 (approximately US$ 2.200,00), and the duration of the fellowship is 18 months.

Organization Description
The Instituto Tecnológico de Aeronáutica (ITA; English: Technological Institute of Aeronautics[1]) is an institution of higher education and advanced research with emphasis in aerospace science and technology maintained by the Brazilian Federal Government with the support of the Brazilian Air Force. It is located in São José dos Campos, Brazil. ITA is rated as one of the top and most prestigious engineering schools in Brazil.

How to Apply
Applications should be submitted only by e-mail until 02/May/2017. Those interested should send letter of interest, curriculum vitae and at least one letter of recommendation to the project's Principal Investigator, Dr. Cairo Nascimento (cairo@ita.br).

Last Day to Apply
02 May 2017

Quantitative Research Analyst

Stevens Capital Management LP

Radnor, PA. USA

(posted 03/02/2017)

Job Description


Quantitative Research Analyst

We're seeking highly driven, production-oriented researchers who possess strong technical skills and a thorough understanding of economics and finance, along with the necessary combination of creativity, resourcefulness, pragmatism and attention to detail to develop successful automated trading strategies.


Primary Responsibilities
• Utilize your analytical skills, market knowledge and intuition to develop and implement statistical trading models.
• Participate in all aspects of research and trading model development, including generating research ideas, building data sets, conducting statistical data analysis and implementing quantitative production trading models.




Qualifications
Requirements
• A degree in economics or finance, with extensive coursework in quantitative disciplines or a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) with extensive coursework in economics or finance.
• Programming experience, ideally including R, C++ and/or Python.
• Strong working knowledge of regression, time series analysis and other statistical techniques.
• Experience building, organizing and analyzing large data sets is preferred.
• The ability to comprehend and synthesize academic literature in finance, economics and statistics.
• Strong financial market interest, knowledge and experience are preferred.
• The ability to simplify and effectively communicate complex concepts.





Other Information
Please refer to www.scm-lp.com for more information on the company.

Organization Description
Stevens Capital Management LP (“SCM”) is a registered investment adviser that manages a multi-billion dollar hedge fund that has been in business for 25+ years.
SCM specializes in the rigorous development and disciplined implementation of empirically based quantitative trading strategies. Our highly productive team works in a fast-paced collegial environment, utilizing extensive data sets, technology and the scientific method to devise and employ trading strategies throughout the world’s most liquid financial markets.

How to Apply
Email: recruiting@scm-lp.com


Last Day to Apply
Ongoing

Quantitative Research Analyst Internship

Stevens Capital Management LP

Radnor, PA. USA

(posted 03/02/2017)

Job Description
We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process. The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.

Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.


Primary Responsibilities
• Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
• Build data sets and conduct statistical analysis on the data.



Qualifications
Requirements
• Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines).
• Programming experience, ideally including R, C++ and/or Python.
• Experience with regression analysis.
• Strong interest in learning how to build, organize and analyze large data sets.
• Strong organizational and communication skills.








Other Information
Please refer to www.scm-lp.com for more information on the company.

Organization Description
Stevens Capital Management LP (“SCM”) is a registered investment adviser that manages a multi-billion dollar hedge fund that has been in business for 25+ years.
SCM specializes in the rigorous development and disciplined implementation of empirically based quantitative trading strategies. Our highly productive team works in a fast-paced collegial environment, utilizing extensive data sets, technology and the scientific method to devise and employ trading strategies throughout the world’s most liquid financial markets.

How to Apply
Email: recruiting@scm-lp.com

Last Day to Apply
Ongoing