Analyst/Associate- Credit Research Strategist, Global Loans

Job Description:

Description:
The loan strategy group is responsible for generating forecasts and trade ideas for corporate loans globally based on macroeconomic dynamics and bottom-up analysis. The platform is relatively new and fast growing, and offers the rare opportunity to be entrepreneurial within the context of sell-side research. The role requires a mix of traditional research skills such as analytical thinking, attention to detail, and ability to thrive in a fast-paced environment, along with an entrepreneurial mindset of creating new products to set market standards. The candidate should be comfortable with a variety of technical skills such as querying databases, coding and modeling big data. Good communication and presentation skills are a must, as the role involves both internal and external client dialog. In addition, since this is a publishing role, the ability to articulate concepts into short written summaries is required.
Tasks:

• Publish daily, weekly and monthly research reports on loan corporate credit markets as well as periodic larger thematic pieces.
• Query, insert and manipulate large amounts of data using SQL.
• In depth knowledge of Bloomberg, SQL, and Excel is required. Prior experience in handling and modeling big data in Python, Matlab or equivalent languages is a big plus.
• Regularly interact with internal and external clients to articulate the team's views and respond to client and sales/trading requests.
• Follow market news and current events, and display an ability to integrate relevant information into published work on a timely basis.
• Update files, run models and develop trade ideas based on market dislocations.
• Present ideas to clients via written work, phone calls and in-person visits/presentations.

Qualifications

• Bachelor's degree in a technical discipline such as Finance, Computer Science, Engineering, Statistics, or Financial Engineering. Masters/MBA/CFA a plus.
• 0-4 Years of experience preferred
• SQL, Excel, VBA skills, or prior experience with similar data processing languages is required. Ability to work with big data modeling platforms is preferred.
• Excellent verbal and written communication skills.
• Strong work ethic, attention to detail, and exercising strong quality control over own work.
• Thrive in a fast paced environment while handling multiple projects simultaneously.
• Prior experience in fixed income a strong plus.

Job Band:
H6

Shift:
1st shift (United States of America)

Hours Per Week:
40

Weekly Schedule:

Referral Bonus Amount:
0
Job Description:

Description:
The loan strategy group is responsible for generating forecasts and trade ideas for corporate loans globally based on macroeconomic dynamics and bottom-up analysis. The platform is relatively new and fast growing, and offers the rare opportunity to be entrepreneurial within the context of sell-side research. The role requires a mix of traditional research skills such as analytical thinking, attention to detail, and ability to thrive in a fast-paced environment, along with an entrepreneurial mindset of creating new products to set market standards. The candidate should be comfortable with a variety of technical skills such as querying databases, coding and modeling big data. Good communication and presentation skills are a must, as the role involves both internal and external client dialog. In addition, since this is a publishing role, the ability to articulate concepts into short written summaries is required.
Tasks:

• Publish daily, weekly and monthly research reports on loan corporate credit markets as well as periodic larger thematic pieces.
• Query, insert and manipulate large amounts of data using SQL.
• In depth knowledge of Bloomberg, SQL, and Excel is required. Prior experience in handling and modeling big data in Python, Matlab or equivalent languages is a big plus.
• Regularly interact with internal and external clients to articulate the team's views and respond to client and sales/trading requests.
• Follow market news and current events, and display an ability to integrate relevant information into published work on a timely basis.
• Update files, run models and develop trade ideas based on market dislocations.
• Present ideas to clients via written work, phone calls and in-person visits/presentations.

Qualifications

• Bachelor's degree in a technical discipline such as Finance, Computer Science, Engineering, Statistics, or Financial Engineering. Masters/MBA/CFA a plus.
• 0-4 Years of experience preferred
• SQL, Excel, VBA skills, or prior experience with similar data processing languages is required. Ability to work with big data modeling platforms is preferred.
• Excellent verbal and written communication skills.
• Strong work ethic, attention to detail, and exercising strong quality control over own work.
• Thrive in a fast paced environment while handling multiple projects simultaneously.
• Prior experience in fixed income a strong plus.

Job Band:
H6

Shift:
1st shift (United States of America)

Hours Per Week:
40

Weekly Schedule:

Referral Bonus Amount:
0
Job Description:

Description:
The loan strategy group is responsible for generating forecasts and trade ideas for corporate loans globally based on macroeconomic dynamics and bottom-up analysis. The platform is relatively new and fast growing, and offers the rare opportunity to be entrepreneurial within the context of sell-side research. The role requires a mix of traditional research skills such as analytical thinking, attention to detail, and ability to thrive in a fast-paced environment, along with an entrepreneurial mindset of creating new products to set market standards. The candidate should be comfortable with a variety of technical skills such as querying databases, coding and modeling big data. Good communication and presentation skills are a must, as the role involves both internal and external client dialog. In addition, since this is a publishing role, the ability to articulate concepts into short written summaries is required.
Tasks:

• Publish daily, weekly and monthly research reports on loan corporate credit markets as well as periodic larger thematic pieces.
• Query, insert and manipulate large amounts of data using SQL.
• In depth knowledge of Bloomberg, SQL, and Excel is required. Prior experience in handling and modeling big data in Python, Matlab or equivalent languages is a big plus.
• Regularly interact with internal and external clients to articulate the team's views and respond to client and sales/trading requests.
• Follow market news and current events, and display an ability to integrate relevant information into published work on a timely basis.
• Update files, run models and develop trade ideas based on market dislocations.
• Present ideas to clients via written work, phone calls and in-person visits/presentations.

Qualifications

• Bachelor's degree in a technical discipline such as Finance, Computer Science, Engineering, Statistics, or Financial Engineering. Masters/MBA/CFA a plus.
• 0-4 Years of experience preferred
• SQL, Excel, VBA skills, or prior experience with similar data processing languages is required. Ability to work with big data modeling platforms is preferred.
• Excellent verbal and written communication skills.
• Strong work ethic, attention to detail, and exercising strong quality control over own work.
• Thrive in a fast paced environment while handling multiple projects simultaneously.
• Prior experience in fixed income a strong plus.

Shift:
1st shift (United States of America)

Hours Per Week:
40