Quantitative Analysis Analyst Jobs

Develop and improve quantitative models and tools used for trading, risk management and decision-making processes.

At least 3 years of relevant experience in a financial services environment.

Strong programming skills in Python and/or R.

Excellent knowledge of quantitative analysis and modeling techniques.

Experience working with large datasets and databases.

Strong problem-solving skills and attention to detail.

A master’s degree (or equivalent experience) in a quantitative discipline such as economics, engineering, mathematics, quantitative finance, statistics, or data science

Experience programming in languages such as R, Stata, Python, Matlab, or SAS

Experience in managing and analyzing large data sets

Experience in developing or validating quantitative models

In certain cases, the recusal may be so extensive it could materially reduce the effectiveness of the prospective employee’s job responsibilities.

Engage in developing and applying quantitative models for the Federal Reserve’s stress testing program.

Knowledge, Skills, and Abilities (KSAs): Service Focus

One (1) years experience working with advanced Excel functions including, formulas, pivot tables, vlookup, etc.

One (1) years data analytics experience.

Model development across the model life cycle including acquisitions, existing customer management, regulatory and collections models

Use banking knowledge to manage risks and identify opportunities through analysis

Develop optimization frameworks, acquisition models, response models, existing customer management and behavioral models

Two (2) years of experience in the job offered or in a quantitative analyst-related occupation

Work with team members and stakeholders within QA, the QA BI and Retail AVP

Engage in project design, predictive model development, strategy development, creation of production code and implementation of models

A master’s degree (or equivalent experience) in a quantitative discipline such as economics, engineering, mathematics, quantitative finance, statistics, or data science

Experience programming in languages such as R, Stata, Python, Matlab, or SAS

Experience in managing and analyzing large data sets

Experience in developing or validating quantitative models

In certain cases, the recusal may be so extensive it could materially reduce the effectiveness of the prospective employee’s job responsibilities.

Engage in developing and applying quantitative models for the Federal Reserve’s stress testing program.

Excellent oral, written, and analytical skills, exhibiting fluency in area of specialization.

Basic knowledge of managing budgets and developing financial plans.

A doctorate (or equivalent) in a relevant field (e.g., education, public policy, economics, sociology, anthropology, psychology, public administration).

Develop and carry out research designs that utilize the most robust methods possible given project parameters (e.g., timeline, budget).

Ensure quantitative and qualitative dimensions of a study are seamlessly integrated from initial design through final reporting.

Meet with partners on an ongoing basis to review research activities, discuss interim findings, and evolve analyses.

Have strong statistical knowledge and mathematical abilities

You have excellent mathematical and/or programming skills

Developed a thorough understanding of financial markets

Utilized quantitative methods to model market behavior

Used data science techniques to analyze large-scale market data

Traded and/or structured exotic derivatives or designed trading algorithms

Prior lending (banking/fintech) experience, including risk management, is a plus

1-3 years of experience in analytics with strong written and verbal communication skills

Proven analytical skills; ability to analyze raw data, draw conclusions, develop actionable recommendations, and to implement them

Experiences with designing and running A/B tests

Company-sponsored training and certification opportunities

All Remote employees at BHG Financial are required to work within the United States of America.

Work on new user interface and back-end components for trading and risk management.

MS degree in Computational Finance, Computer Science, Mathematics, Physics or closely related degree.

2+ years’ experience in building financial models and tools in C#/C++/Java.

Knowledge of linear and non-linear products such as swaps, swaptions, Cap/Floor, contingent options, Digitals, Bonds, asset swaps, etc.

· Strong trouble-shooting skills under time constraints.

Build new and enhance current pricing and risk models for cross asset instruments and derivatives.

Have strong statistical knowledge and mathematical abilities

We provide you with the knowledge and skills you need to succeed.

You have excellent mathematical and/or programming skills

Developed a thorough understanding of financial markets

Utilized quantitative methods to model market behavior

Used data science techniques to analyze large-scale market data

Previous healthcare, supply chain or materials management experience

Presentation of analysis to all levels of management.

The only company to be recognized by KLAS twice for Overall Healthcare Management Consulting

Years of Applicable Experience - 2 or more years

Employees also receive access to the following benefits:

Perform analysis of medical and surgical products to identify savings opportunities.

Mentor and develop skills of Associate colleagues

MS in Finance, Mathematical Finance, or related field of study

2-4 years of relevant work experience

Strong problem solving, quantitative, and analytical abilities

Demonstrated leadership abilities and idea generation

Ability to prioritize multiple tasks and manage workload

Minimum 6 years relevant experience within a commodity focused MNC or market analysis company

Strong experience in economic modelling – econometric analysis an advantage

Excellent verbal and written communication skills (English) are essential

Access to top-tier family-friendly health programs including medical, prescription drug, dental, vision, life insurance coverage, and various voluntary benefits.

Key role in formulating short-term market insights & price forecasts for the Group

Opportunity to influence key decisions globally

3+ years of experience with:

Use existing data to answer questions about program/policy effectiveness

Conduct quantitative analysis of program data, including techniques such as regression analysis, Bayesian analysis, Python / R applications, and GIS application

Apply statistical analysis of agency mission data

Conduct advanced qualitative analysis within datasets to produce and/or support assessments of national preparedness

Conduct open-source research and qualitative analysis of policy and interagency data to identify trends

This position may have in-office requirements depending on candidate location.**

Minimum 2 years, typically 3 years or more of relevant experience.

Must have good planning, organizational, analytical, decision making and communication skills.

Conducts moderate complexity product analysis under minimal supervision.

Queries data to conduct ad hoc analysis of metrics.

Serves as team member on medium-term or moderate complexity projects and may occasionally lead own work stream.

2-4 years of relevant finance/strategy experience in media, direct-to-consumer subscription, management/strategy consulting, investment banking or similar fields

Proven quantitative and analytical skills, including significant financial modeling experience

Develop, enhance, and maintain financial models to support key business decisions including price changes, promotional offers, and wholesale/partnership opportunities

Responsibilities Include, But Are Not Limited To

Assist in development of subscriber revenue forecast with focus on key underlying subscriber assumptions/metrics

Partner with operating leaders and Decision Sciences to research and analyze issues and questions raised by leadership to inform decision-making

Extract data (internal and external) from client databases

Develop reports in Tableau, utilizing R and Excel

Translate data analysis and visualizations into client-ready reports and presentations

QA of data, analysis, reports, presentations and other deliverables

$80k - $110k base (DOE)

HSA and FSA options with company contribution