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Associate Quantitative Risk Analyst Jobs in Connecticut

SS&C

Quantitative Financial Engineer

Windsor, CT

The Quantitative Financial Engineer is responsible for applying mathematical and statistical ... risk engine to conduct the set of analyses as required. Identify and address any ad hoc issues ...

Options Group

Risk Developer Consultant

Stamford, CT

Develop quantitative analysis of risk to deliver game changing solutions. Build and support risk operational infrastructure to maintain and continually exceed high standard of excellence. To succeed ...

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All JobsAssociate Quantitative Risk Analyst JobsAssociate Quantitative Risk Analyst Jobs in Connecticut

Associate Quantitative Risk Analyst information

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use software like Excel, R, or Python to support risk management strategies. Strong analytical skills and knowledge of finance and statistics are essential for this role.

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

Is a quant analyst a high paying job?

A quantitative risk analyst typically earns a competitive salary, especially in finance and investment firms, with compensation often increasing with experience, advanced degrees, and specialized skills in programming and statistical analysis. While salaries vary by location and employer, the role is generally considered well-paying within the finance industry.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst at Morgan Stanley is typically between $80,000 and $150,000 annually, depending on experience, location, and level of seniority. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What is the salary of a quant risk analyst?

The salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and the complexity of the role. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an Associate Quantitative Risk Analyst, and why are they important?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.
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Associate Quantitative Risk Analyst jobs near you

Quantitative Financial Engineer

SS&C

Windsor, CT

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Quantitative Financial Engineer (SS&C Technologies, Inc.; Windsor, CT) (Multiple Positions): The Quantitative Financial Engineer is responsible for applying mathematical and statistical techniques to study, measure, and evaluate financial instruments, financial markets and the behavior of market participants. This role typically revolves around the design, development, construction of mathematical models and analytical approaches designed to provide insight into complex financial systems. Specific responsibilities include: Provide support to clients (mainly Hedge Fund Risk Managers) regarding the content and the production of risk reports: answer queries on risk exposures, measures, scenarios, Value-At-Risk calculations and models used within the risk system. Create ad hoc SQL and Python scripts to extract data out of the risk system to facilitate investigations. Work together closely with the risk development team to test and validate new pricing models and enhancements. Reconcile client expectations with the numbers reported by our system using alternate systems such as Bloomberg and/or in house Excel add in libraries. Coordinate and actively participate in the setting up of new clients on the risk platform and configuring the risk engine to conduct the set of analyses as required. Identify and address any ad hoc issues regarding the production of risk reports and escalating to the appropriate team. Provide input and feedback for the continuous enhancement of the system. Telecommuting permitted.

Minimum requirements: Bachelor's degree or equivalent in Mathematics, Applied Science, Business, Finance, Economics or related field plus 2 years of experience in an engineering role. Alternatively, will accept a Master's degree or equivalent in Mathematics, Applied Science, Business, Finance, Economics or related field.

Must have: Knowledge of cross asset class financial instruments modeling and pricing (equity/FX options, bonds, futures, interest-rate swaps, CDS, etc.). Strong understanding of risk management techniques, VaR approaches (Historical, Monte-Carlo) and sensitivity measures (option greeks, DV01, PVO1, etc.). Basic understanding of trading strategies across all major asset classes and hedge fund investment styles. Strong analytic skills and logical reasoning/problem solving. Strong understanding of SQL or Python (Pandas), Excel macros and Bloomberg. Strong understanding of modern programming language and database management concepts. Client-facing experience with excellent written and verbal communication skills.

Apply online at https://www.ssctech.com/about-us/careers or send resume to: Angela Lamar, Talent Acquisition, SS&C Technologies, Inc., alamar@sscinc.com. Ref: 00092349. An EOE.

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Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.

Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

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