4 joburi disponibile

*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for an Associate Principal, Credit Management & Reporting. This role will focus on credit risk data analysis using excel, Microsoft office, SQL, Tableau, Power BI, Bloomberg/S&P, and python Scripting. Responsibilities: Support credit risk management team with analysis of ongoing creditworthiness of counterparties and escalate issues requiring enhanced surveillance to department management and internal working groups so appropriate actions can be taken. Support credit risk management team with analytical solutions to assist with financial statement analysis, including identifying levels and trends in key metrics and ratios. Collaborate with IT and other internal teams to design and implement advanced scalable data analytics solutions to identify and analyze causal links and meaningful relationships (eg, correlations, distributions, percentiles). Includes centralizing data from multiple sources to automated Front End visual reporting/dashboards. Support credit risk management team with critical, time-sensitive, and/or complex counterparty inquiries requiring data collection or analysis. Support system, data, and risk methodology development, review data and risk methodologies during annual reviews, identify underlying methodology assumptions with a comprehensive set of special cases, guide methodologies through full life cycle events, and evaluate different possible approaches/enhancements Develop, maintain, enhance, and adhere to written policies and procedures Participate in and lead procedure-related control testing activities and identify opportunities for improving the control environment Supervise and confirm adherence to regulatory reporting obligations Work with internal and external stakeholders to support audits/exams Qualifications: Bachelor's degree (preferably in Financial Engineering, Data Science, Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) or equivalent work experience required 4+ years of data analytics experience or relevant financial services industry experience Desire to earn, or progress towards, a CFA or FRM certification Proficient knowledge of the financial services industry, including the financial, market, liquidity and operational risks of broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities Proficient understanding of securities markets, derivatives, and option trading strategies Intermediate-to Advanced in Microsoft Office, including Excel experience using lookups and pivot tables to perform data analysis, and comfortable developing PowerPoint presentations Intermediate- to-Advanced SQL, including the ability to write and edit queries to assist with mining and visualizing data from multiple sources. Experience using data visualization software (eg, Tableau, Power BI) Familiarity with data stack applications such as Snowflake and code versioning in Github Coding experience with (eg, Python, R, VBA macros) required Familiarity using Bloomberg and/or S&P Global Market Intelligence, and the technical ability to connect these tools to Excel preferred

*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for an Associate Principal, Credit Management & Reporting. This role will focus on credit risk data analysis using excel, Microsoft office, SQL, Tableau, Power BI, Bloomberg/S&P, and python Scripting. Responsibilities: Support credit risk management team with analysis of ongoing creditworthiness of counterparties and escalate issues requiring enhanced surveillance to department management and internal working groups so appropriate actions can be taken. Support credit risk management team with analytical solutions to assist with financial statement analysis, including identifying levels and trends in key metrics and ratios. Collaborate with IT and other internal teams to design and implement advanced scalable data analytics solutions to identify and analyze causal links and meaningful relationships (eg, correlations, distributions, percentiles). Includes centralizing data from multiple sources to automated Front End visual reporting/dashboards. Support credit risk management team with critical, time-sensitive, and/or complex counterparty inquiries requiring data collection or analysis. Support system, data, and risk methodology development, review data and risk methodologies during annual reviews, identify underlying methodology assumptions with a comprehensive set of special cases, guide methodologies through full life cycle events, and evaluate different possible approaches/enhancements Develop, maintain, enhance, and adhere to written policies and procedures Participate in and lead procedure-related control testing activities and identify opportunities for improving the control environment Supervise and confirm adherence to regulatory reporting obligations Work with internal and external stakeholders to support audits/exams Qualifications: Bachelor's degree (preferably in Financial Engineering, Data Science, Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) or equivalent work experience required 4+ years of data analytics experience or relevant financial services industry experience Desire to earn, or progress towards, a CFA or FRM certification Proficient knowledge of the financial services industry, including the financial, market, liquidity and operational risks of broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities Proficient understanding of securities markets, derivatives, and option trading strategies Intermediate-to Advanced in Microsoft Office, including Excel experience using lookups and pivot tables to perform data analysis, and comfortable developing PowerPoint presentations Intermediate- to-Advanced SQL, including the ability to write and edit queries to assist with mining and visualizing data from multiple sources. Experience using data visualization software (eg, Tableau, Power BI) Familiarity with data stack applications such as Snowflake and code versioning in Github Coding experience with (eg, Python, R, VBA macros) required Familiarity using Bloomberg and/or S&P Global Market Intelligence, and the technical ability to connect these tools to Excel preferred

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Credit Risk Management Reporting Analyst. Candidate will be responsible, identifying, developing, measuring, monitoring, reporting, and enhancing processes that monitor thresholds and trends of various risks and exposures introduced to by clearing members, banks, and other critical counterparties. Associate Principals utilize a strong technical and analytical skill set to assist Credit Department with its projects and reporting. Maintain a general understanding of the risks present within the clearing industry and/or the participating financial entities, including broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities. Associate Principals mentor and train (Sr.) Associates and independently develop technology solutions for the department. Responsibilities: Support CORE team with analysis of ongoing creditworthiness of counterparties and escalate issues requiring enhanced surveillance to department management and internal working groups so appropriate actions can be taken. Support CORE team with analytical solutions to assist with financial statement analysis, including identifying levels and trends in key metrics and ratios. Collaborate with IT and other internal teams to design and implement advanced scalable data analytics solutions to identify and analyze causal links and meaningful relationships (eg, correlations, distributions, percentiles). Includes centralizing data from multiple sources to automated Front End visual reporting/dashboards. Work closely with department management on projects, cross-department collaboration, and mentoring of colleagues. As appropriate, lead high priority department projects with minimal oversight by department management. Support CORE team with critical, time-sensitive, and/or complex counterparty inquiries requiring data collection or analysis. Support system, data, and risk methodology development, review data and risk methodologies during annual reviews, identify underlying methodology assumptions with a comprehensive set of special cases, guide methodologies through full life cycle events, and evaluate different possible approaches/enhancements Develop, maintain, enhance, and adhere to written policies and procedures Participate in and lead procedure-related control testing activities and identify opportunities for improving the control environment Supervise and confirm adherence to regulatory reporting obligations Work with internal and external stakeholders to support audits/exams Qualifications: Demonstrated analytical and problem-solving skills and the ability to work in a collaborative environment Familiarity with financial statements, brokerage statements, and accounting records Proficient knowledge of the financial services industry, including the financial, market, liquidity and operational risks of broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities Proficient understanding of securities markets, derivatives, and option trading strategies Track record of independently managing and successfully completing high visibility projects Excellent organization skills - must be detail oriented Strong verbal and written communication skills, with proven ability to work and converse with executive level management Strong Mathematical skills and financial acumen Comfortable working in a customer service-oriented environment and addressing questions from both colleagues and counterparties, engaging users to understand issues and identify root causes, escalating incidents to appropriate teams, collaborating with others to ensure timely resolution and user satisfaction, and monitoring service performance of (Sr.) Associates Ability to work well under pressure with multiple priorities and time-sensitive deadlines Track record of accomplishments while leading a team, delegating and prioritizing work assignments, and ensuring team efficiency preferred Technical Skills: Intermediate-to Advanced in Microsoft Office, including Excel experience using lookups and pivot tables to perform data analysis, and comfortable developing PowerPoint presentations Intermediate- to-Advanced SQL, including the ability to write and edit queries to assist with mining and visualizing data from multiple sources. Experience using data visualization software (eg, Tableau, Power BI) Familiarity with data stack applications such as Snowflake and code versioning in Github Coding experience with (eg, Python, R, VBA macros) required Intermediate-to-Advanced quantitative, analytical, problem solving skills, including the ability to accumulate, organize, and assimilate large amounts of information. Familiarity using Bloomberg and/or S&P Global Market Intelligence, and the technical ability to connect these tools to Excel preferred Education and/or Experience: Bachelor's degree (preferably in Financial Engineering, Data Science, Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) or equivalent work experience required 4+ years of data analytics experience or relevant financial services industry experience Master's degree or progress towards a Master's degree (preferably in Financial Engineering, Data Science, Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) preferred Certificates or Licenses: Desire to earn, or progress towards, a CFA or FRM certification

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Credit Risk Management Reporting Analyst. Candidate will be responsible, identifying, developing, measuring, monitoring, reporting, and enhancing processes that monitor thresholds and trends of various risks and exposures introduced to by clearing members, banks, and other critical counterparties. Associate Principals utilize a strong technical and analytical skill set to assist Credit Department with its projects and reporting. Maintain a general understanding of the risks present within the clearing industry and/or the participating financial entities, including broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities. Associate Principals mentor and train (Sr.) Associates and independently develop technology solutions for the department. Responsibilities: Support CORE team with analysis of ongoing creditworthiness of counterparties and escalate issues requiring enhanced surveillance to department management and internal working groups so appropriate actions can be taken. Support CORE team with analytical solutions to assist with financial statement analysis, including identifying levels and trends in key metrics and ratios. Collaborate with IT and other internal teams to design and implement advanced scalable data analytics solutions to identify and analyze causal links and meaningful relationships (eg, correlations, distributions, percentiles). Includes centralizing data from multiple sources to automated Front End visual reporting/dashboards. Work closely with department management on projects, cross-department collaboration, and mentoring of colleagues. As appropriate, lead high priority department projects with minimal oversight by department management. Support CORE team with critical, time-sensitive, and/or complex counterparty inquiries requiring data collection or analysis. Support system, data, and risk methodology development, review data and risk methodologies during annual reviews, identify underlying methodology assumptions with a comprehensive set of special cases, guide methodologies through full life cycle events, and evaluate different possible approaches/enhancements Develop, maintain, enhance, and adhere to written policies and procedures Participate in and lead procedure-related control testing activities and identify opportunities for improving the control environment Supervise and confirm adherence to regulatory reporting obligations Work with internal and external stakeholders to support audits/exams Qualifications: Demonstrated analytical and problem-solving skills and the ability to work in a collaborative environment Familiarity with financial statements, brokerage statements, and accounting records Proficient knowledge of the financial services industry, including the financial, market, liquidity and operational risks of broker-dealers, futures commission merchants, commercial banks, pension funds, and financial market utilities Proficient understanding of securities markets, derivatives, and option trading strategies Track record of independently managing and successfully completing high visibility projects Excellent organization skills - must be detail oriented Strong verbal and written communication skills, with proven ability to work and converse with executive level management Strong Mathematical skills and financial acumen Comfortable working in a customer service-oriented environment and addressing questions from both colleagues and counterparties, engaging users to understand issues and identify root causes, escalating incidents to appropriate teams, collaborating with others to ensure timely resolution and user satisfaction, and monitoring service performance of (Sr.) Associates Ability to work well under pressure with multiple priorities and time-sensitive deadlines Track record of accomplishments while leading a team, delegating and prioritizing work assignments, and ensuring team efficiency preferred Technical Skills: Intermediate-to Advanced in Microsoft Office, including Excel experience using lookups and pivot tables to perform data analysis, and comfortable developing PowerPoint presentations Intermediate- to-Advanced SQL, including the ability to write and edit queries to assist with mining and visualizing data from multiple sources. Experience using data visualization software (eg, Tableau, Power BI) Familiarity with data stack applications such as Snowflake and code versioning in Github Coding experience with (eg, Python, R, VBA macros) required Intermediate-to-Advanced quantitative, analytical, problem solving skills, including the ability to accumulate, organize, and assimilate large amounts of information. Familiarity using Bloomberg and/or S&P Global Market Intelligence, and the technical ability to connect these tools to Excel preferred Education and/or Experience: Bachelor's degree (preferably in Financial Engineering, Data Science, Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) or equivalent work experience required 4+ years of data analytics experience or relevant financial services industry experience Master's degree or progress towards a Master's degree (preferably in Financial Engineering, Data Science, Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) preferred Certificates or Licenses: Desire to earn, or progress towards, a CFA or FRM certification