Data Engineer / Quantitative Modeler - NEW YORK - USA

Park Lane Recruitment
1 year ago
Applications closed

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 Data Engineer / Quantitative Modeler
 
- NEW YORK
- USA
 
Work Experience (Years): 2 - 4
 
Salary : $185000 - $225000
 
Other Compensation : Bonus
 
Degree : University - Bachelor's Degree/3-4 Year Degree
 
Remote Status: No Remote
 
Client Willing to Sponsor: Yes
 
Relocation Paid: Yes
 
Industry(ies): Information Technology, Professional Services, Real Estate/ Mortgage, Research & Development Services
 
Primary Skills: Python
 
Occupational Categories: Accounting/ Financial Services/ Investing
 
Job Description :
Quantitative Modeler / Data Engineer :
We are looking for a highly motivated and talented Quantitative Software Developer / Credit Modeler with a strong academic background and a passion for data, machine learning and the desire to join a strong, collaborative team. 10 Billion AUM Hedge Fund, our client is committed to developing state of the art models and technology, driving our investment and risk management decision making processes. This platform is driven by cutting-edge, cloud-based data & ML solutions.
 
MUST BE FAMILIAR WITH HACKERRANK TESTS.
 
Qualifications:

  • BS in Computer Science, Statistics/Data Science, Mathematics, or Financial Engineering degree from a top university.  MS degree preferred
  • 2-4 years’ experience as a research modeler / quant developer in a hedge fund, asset manager, banking, or fintech environment focused on structured products or consumer credit
  • Proven modeling skills in R and Python.  Experience building loan-level credit / prepayment models through all stages from data preparation, data analysis, model estimation through deployment into production
  • Experience with generalized regression models as well machine learning frameworks
  • Very strong programming and software design skills (Python, C++) required
  • Very strong SQL and DB skills for creating/maintaining necessary tables for data preparation and analysis
  • Excellent communication skills and ability to work collaboratively in a team environment with a flexible, organized, and driven personality
  • Enthusiastic about leveraging models into the firm’s investment process in the structured credit space (RMBS, CMBS, ABS, CLOs)
  • Knowledge of structured products and/or risk management in a fixed-income environment is required
  • Experience creating visualization tools for monitoring or model performance adjustment in a modern JS framework (React, Angular, Vue) is a plus

Responsibilities:

  • This is a hybrid credit modeling / software development role
  • Estimate / develop and enhance credit models in the securitized products (RMBS/CMBS/ABS/CLO) space via data driven credit risk analysis
  • Develop production quality ETL and data integrity processes to build and maintain credit models
  • Create visual tools for monitoring, back testing and adjusting model performance
  • Develop tools to analyze bid lists, dealer offerings, and new issue deals in the structured credit space with an eye towards automation
  • Collaborate with data scientists, analysts, traders, and other stakeholders to understand requirements and deliver high-quality data solutions

Why is This a Great Opportunity:

  • Competitive salary and benefits package.
  • A dynamic and inclusive work environment with opportunities for professional growth 
  • Access to the latest technologies and tools in the data engineering field
  • Support for continuous learning and career development

 
 
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