Senior quantitative engineer Python sql jersey City nj ref

Company Info
Esrhealthcare
San Diego, CA, United States

Phone: 6194532962
Web Site: Https://esrhealthcare.mysmartjobboard.com

Company Profile
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Title:

Senior quantitative engineer Python sql jersey City nj ref

Location:

Jersey City, NJ 

Salary:

$170,000.00

Job ID:

76082
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Job Description:

Experience level: Mid-senior Experience required: 5 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Financial Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No This role is contract to hire and is onsite from Day 1 with an option to work 3 days a week in home! Due to a recent increase in misrepresentation during the interview process, has implemented a new policy that requires a candidate’s headshot on the front page of the resume to be considered. Principal Responsibilities: Implement risk models for fixed income products. Assist the quants in research and development of new quantitative methodologies Collect and streamline external and internal data that are used for risk analysis Automate systems and processes to support risk monitoring and operation Provide ad-hoc support in quantitative analysis and data reporting to internal risk managers and external supervisors. Experience: 5+ years of relevant quantitative development and/or data analysis experience. Knowledge and Skills Required: Proficient in Python and SQL Hands on experience in developing complex financial applications Hands on experience in organizing and analyzing large scale dataset Experience in risk management and fixed income products Excellent written and oral communication skills. Highly motivated, detail-oriented, self-starter, who can take initiative and work both independently and proactively in a dynamic team environment Familiarity with AWS is a plus Master's degree in a quantitative discipline 1.) What is the candidate's desired hourly rate? 2.) What is the candidate's work authorization status? 3.) Please share candidate's LinkedIn profile link. 4.) What is candidate's present location with the Zip code ? If candidate is not near the job location, please explain relocation plan in detail (e.g. timeline, relocating with family, selling/buying property) 5.) What is the candidate's Month and day of DOB (required for submission 6.) What is the candidate's full legal name? 7.) Describe candidate's experience in Implementing and developing quantitative risk models for fixed income products.