信用分析师简历ATS优化清单：让您的简历通过筛选软件

美国劳工统计局报告全美共有67,800名信用分析师，年薪中位数为$80,970——然而该职业预计到2034年将下降4%，随着自动化承销工具吸收常规信贷决策，将减少约3,000个职位 [1]。萎缩的人员配置意味着每个空缺岗位都吸引更密集的申请者池，银行、保险公司和企业贷款机构更加依赖ATS（申请人追踪系统）在人工审阅者读到第一页之前就筛选候选人。如果您的简历无法通过ATS解析，您的DCF模型和信贷备忘录将完全不可见。

本清单涵盖ATS在处理信用分析师简历时评估的每个要素——从关键词密度和格式到章节结构和文件类型。逐章节遵循，您将从拒绝堆中进入面试候选名单。

ATS系统如何处理信用分析师简历

金融服务业使用的ATS（申请人追踪系统）——Workday、iCIMS、Greenhouse、Taleo——不会像招聘经理那样阅读您的简历。它们进行解析。这意味着软件从非结构化文档中提取结构化数据，将文本映射到预定义字段：联系信息、工作经历、教育背景、技能、认证。

对于信用分析师职位而言，解析挑战尤为严峻，因为该角色位于金融、会计和风险管理的交叉点。信用分析师简历通常包含金融术语、缩写（DCF、LGD、PD、EAD、DSCR）以及工具专有引用（Bloomberg Terminal、Moody's CreditView、S&P Capital IQ），ATS必须正确分类这些内容。如果系统无法将"Moody's RiskCalc"解析为工具而非雇主名称，您的技术能力就会从解析后的档案中消失。

ATS实际做什么

1. 文本提取：系统从您的文件中读取原始文本。嵌入文本的PDF有效；扫描图像PDF无效。Word（.docx）文件在所有主要ATS平台上解析最可靠 [2]。

2. 章节识别：ATS寻找标准章节标题——"Professional Summary"、"Experience"、"Education"、"Skills"、"Certifications"。非标准标题如"My Journey"或"What I Bring"会混淆解析器，可能导致整个章节被错误分类或跳过 [3]。

3. 关键词匹配：系统将提取的文本与职位描述的必需和优选资格进行比较。关键词有权重：出现在职业摘要和工作经历中的术语比仅出现在技能列表中的权重更高。

4. 评分和排名：每份简历获得一个匹配分数。招聘人员通常只审阅评分最高的20-40%申请者。对于一个中型银行收到200份申请的信用分析师职位，这意味着大约40-80份简历能被人工审阅。

金融行业特有的ATS细微差别

金融机构通常会配置其ATS来标记特定的监管知识（Basel III、CECL、IFRS 9）、信用评级机构熟悉度和投资组合管理经验。许多银行还会运行次级筛查，搜索合规相关关键词，因为信用分析师处理受GLBA和ECOA法规约束的敏感借款人数据。

了解这一过程是基础。以下所有建议旨在优化ATS如何提取、分类和评分您的内容。

信用分析师简历的必备关键词和短语

对当前信用分析师职位发布的分析显示，三个关键词——"Analysis"、"Communication Skills"和"Financial Statements"——占ATS关键词频率排名前列的41.21% [4]。下一层级——"Compliance"、"Credit Analysis"和"Detail Oriented"——额外占27.71%。仅这六个术语就占该角色ATS筛选中近70%的关键词权重。

以下是分类关键词库。您不需要列表上的每个关键词——您需要的是与目标职位描述匹配的那些，并在工作经历要点的上下文中自然部署，而非堆砌在独立列表中。

硬技能和技术能力

工具和平台

认证和资质

软技能（在上下文中使用，不要列为列表）

• Analytical thinking
• Written and verbal communication
• Attention to detail
• Critical thinking
• Problem solving
• Collaboration / cross-functional teamwork
• Stakeholder management
• Time management / prioritization
• Presentation skills
• Decision making under uncertainty

关键词部署规则：每个关键词应出现在展示应用的句子中。"Conducted credit analysis"比在技能框中列出"Credit Analysis"更好。"Built and maintained 15 financial models for C&I borrowers using advanced Excel and Python, reducing underwriting turnaround by 3 days"在一个成就要点中使用了四个关键词。

简历格式优化以确保ATS兼容性

文件格式

除非职位发布特别要求PDF，否则提交**.docx文件**。Word文档在Workday、iCIMS、Greenhouse、Taleo和Lever上解析一致。如果必须使用PDF，请确保是基于文本的PDF（您可以通过尝试高亮和复制文本来测试）——永远不要提交扫描图像PDF [2]。

排版规则

• 仅使用单栏。 双栏布局、侧边栏和文本框会导致ATS解析器乱序读取内容或完全跳过章节 [3]。
• 标准字体。 使用Calibri、Arial、Garamond或Times New Roman，字号10-12pt。避免自定义或装饰字体。
• 关键信息不放在页眉或页脚中。 许多ATS平台会跳过页眉和页脚区域。您的姓名、电话号码、电子邮件和LinkedIn URL应在文档正文中。
• 主要内容不使用表格。 虽然一些现代ATS平台能处理简单表格，但许多仍然有困难。表格仅用于补充信息，永远不要用于工作经历或技能章节。
• 不使用图形、图表、图标或图像。 ATS无法解析视觉内容。显示技能熟练度的图表对解析器不可见。
• 标准章节标题。 使用："Professional Summary"、"Professional Experience"或"Work Experience"、"Education"、"Skills"、"Certifications"。避免创意替代方案。

日期格式

全文使用一致的格式。"January 2022 – Present"或"Jan 2022 – Present"都可以。避免"1/2022"或"2022-01"格式，某些解析器可能误读。每个职位始终包含月份和年份。

联系信息

放在文档正文顶部（不在页眉中）：

• 全名
• 城市和州（不需要完整街道地址，且涉及隐私问题）
• 电话号码
• 专业邮箱
• LinkedIn URL（自定义，非默认的随机字符串）

逐章节优化指南

职业摘要

您的职业摘要是简历上最高价值的区域，因为ATS平台对文档前部出现的关键词给予更高权重。撰写3-4句话，确立您的经验水平、核心能力和一个量化成就。

变体1——资深信用分析师（5-8年）

Credit analyst with 7 years of experience in commercial lending and credit risk assessment across C&I, CRE, and SBA loan portfolios totaling $850M. Skilled in financial statement analysis, cash flow modeling, and credit memorandum preparation for credits ranging from $500K to $25M. Reduced portfolio watch-list exposure by 22% through early identification of covenant deterioration using proactive monitoring frameworks. Hold CRC designation from the Risk Management Association.

变体2——入门级信用分析师（0-2年）

Credit analyst with demonstrated proficiency in financial statement analysis, ratio analysis, and credit risk evaluation developed through a B.S. in Finance (summa cum laude) and a 6-month credit analyst internship at a $4B community bank. Completed independent analysis of 40+ commercial borrowers during internship, supporting $120M in new loan originations. Proficient in Bloomberg Terminal, S&P Capital IQ, and advanced Excel financial modeling. Pursuing CFA Level I certification.

变体3——高级/转型信用分析师

Senior credit analyst with 12 years of progressive experience managing a $1.2B commercial real estate loan portfolio for a top-20 U.S. bank. Expert in underwriting, covenant structuring, and regulatory compliance including Basel III capital requirements and CECL provisioning. Led a team of 4 junior analysts, establishing standardized credit scoring procedures that improved approval-to-close conversion by 18%. CFA charterholder and FRM certified.

工作经历

工作经历要点必须遵循动作动词 + 任务 + 量化结果公式。每个要点应包含至少一个ATS关键词和至少一个指标。

15个信用分析师带指标的要点示例：

1. Analyzed financial statements for 75+ commercial borrowers annually, evaluating creditworthiness across C&I and CRE portfolios totaling $620M in outstanding commitments.

2. Prepared 120+ credit memorandums per year recommending approval, modification, or declination of credit facilities ranging from $250K to $15M, maintaining a 94% approval rate on recommended credits.

3. Built and maintained a 30-tab Excel financial model incorporating DCF analysis, sensitivity testing, and Monte Carlo simulation for stress testing a $400M loan portfolio, identifying $18M in at-risk exposure.

4. Reduced average underwriting turnaround time from 12 days to 7 days by developing standardized credit analysis templates and automating financial spreading through Python scripts.

5. Monitored covenant compliance for 200+ active borrowers on a quarterly basis, flagging 15 early-warning cases that resulted in proactive restructuring and zero charge-offs over a 3-year period.

6. Conducted industry research and competitive analysis for 8 sector verticals, producing quarterly portfolio risk reports presented to the Chief Credit Officer and credit committee.

7. Assessed probability of default (PD) and loss given default (LGD) for a $300M SBA loan portfolio using Moody's RiskCalc and internal credit scoring models, recalibrating risk ratings for 40 borrowers.

8. Collaborated with relationship managers on 50+ new deal opportunities annually, providing credit risk assessments and structuring recommendations that supported $180M in new originations.

9. Led annual credit review of the bank's top 25 borrower relationships representing $450M in total exposure, presenting findings and risk mitigation strategies to the board risk committee.

10. Implemented automated cash flow spreading tool using SQL and Python, reducing manual data entry by 85% and improving spreading accuracy from 92% to 99.4%.

11. Underwrote $75M in commercial real estate loans including acquisition, construction, and permanent financing, conducting property-level cash flow analysis and market comparables review.

12. Managed a watch-list portfolio of 35 distressed credits totaling $90M, executing workout strategies including forbearance agreements, covenant modifications, and orderly liquidations that recovered $82M (91% recovery rate).

13. Developed a sector concentration dashboard using Tableau that provided real-time portfolio exposure visualization across 12 industry segments, adopted bank-wide by the risk management division.

14. Trained and mentored 6 junior credit analysts on financial statement analysis, credit memo writing, and the bank's internal risk rating methodology, reducing onboarding time from 8 weeks to 5 weeks.

15. Achieved 100% compliance on internal audit reviews for 3 consecutive years by maintaining rigorous credit file documentation standards and timely completion of annual borrower reviews.

技能章节

按子类别构建技能章节，帮助ATS和人工读者：

Technical "Skills": Financial Statement Analysis, Credit Risk Assessment, Financial Modeling (DCF, LBO), Ratio Analysis, Cash Flow Analysis, Loan Underwriting, Stress Testing, Covenant Monitoring, DSCR Analysis, Debt Restructuring, Portfolio Risk Management

Tools & Platforms: Bloomberg Terminal, Moody's Analytics, S&P Capital IQ Pro, FactSet, Microsoft Excel (Advanced — Pivot Tables, VBA, Macros), Python, SQL, Tableau, nCino, Salesforce

Regulatory Knowledge: Basel III/IV, CECL, IFRS 9, Dodd-Frank, GLBA, ECOA, OCC Guidance

教育背景

列出学位、院校、毕业年份和相关荣誉：

Bachelor of Science in Finance | University of Michigan — Ross School of Business | 2019 GPA: 3.7/4.0 | Dean's List (6 semesters) | Beta Gamma Sigma Honor Society 相关课程: Financial Statement Analysis, Corporate Finance, Fixed Income, Risk Management

仅在工作经验不足3年时包含相关课程。对于资深分析师，教育章节应简洁——学位、学校、年份。

认证

列出每项认证的全称、颁发机构和获得年份。首次使用时拼出缩写：

Chartered Financial Analyst (CFA) — CFA Institute — 2021 Credit Risk Certification (CRC) — Risk Management Association (RMA) — 2020 Financial Modeling & Valuation Analyst (FMVA) — Corporate Finance Institute — 2019

ATS可能搜索缩写或全称，因此包含两者可最大化匹配潜力。

导致信用分析师简历被拒的常见错误

1. 使用银行术语但缺乏上下文

写"Managed the book"或"Ran spreads"假设读者（和ATS）理解非正式的银行俚语。相反，写"Managed a $450M commercial loan portfolio"和"Prepared financial statement spreads and ratio analysis for 80+ borrowers"。ATS系统匹配职位描述中的正式术语，而非您当前团队内部使用的简称。

2. 遗漏金额和组合规模

信用分析是一个量化学科。写"Analyzed financial statements for commercial borrowers"没有告诉ATS任何关于规模的信息。写"Analyzed financial statements for 120+ C&I and CRE borrowers across a $750M loan portfolio"包含多个可匹配的关键词（financial statements、C&I、CRE、loan portfolio）并展示了规模。

3. 列出工具但未展示熟练程度

写"Bloomberg, Moody's, Capital IQ"在技能列表中是不够的。当工具出现在上下文中时，ATS评分会提高："Used S&P Capital IQ Pro to screen peer comparables and benchmark borrower financial performance against industry medians"。这也满足了人工审阅者的需求，他们想要证明您实际使用过该工具而非仅知道其名称。

4. 将信用分析与会计混淆

许多候选人使用通用的会计语言（"prepared financial reports"、"reconciled accounts"）而非信用特定语言（"assessed creditworthiness"、"evaluated probability of default"、"structured loan covenants"）。如果职位描述写的是"credit risk assessment"，您的简历必须使用那个确切短语，而非来自不同学科的释义。

5. 提交视觉设计过的简历

金融候选人有时使用带有分栏、技能条、信息图表或自定义图标的设计简历模板。这些以PDF形式渲染美观，但在ATS内部解析为乱码。Graduate Financial Recruitment的研究证实，页眉和页脚、文本框和多栏布局是金融服务中导致ATS拒绝的最常见格式问题 [9]。

6. 未能镜像监管和合规术语

如果职位发布提到Basel III、CECL或IFRS 9，您的简历必须包含这些确切术语。许多信用分析师候选人假设他们的技术知识不言自明——对于匹配字符串的解析器来说并非如此。如果您有监管资本计算或信贷损失准备金拨备的经验，请使用标准术语明确说明。

7. 对所有申请使用通用简历

为区域银行商业信用分析师角色优化的简历，提交到投资银行的杠杆金融信用分析师职位时会得分很低。关键词集不同："C&I lending, SBA, community development"与"leveraged buyout, syndicated loans, high-yield credit"。为每次申请自定义关键词部署——ATS是根据那个特定的职位描述进行匹配，而非通用标准。

信用分析师ATS优化清单

每次提交前使用此清单。每个条目针对一个特定的ATS解析或评分标准。

文件和格式

• [ ] 简历保存为.docx（或如需要则为基于文本的PDF）
• [ ] 单栏布局，无文本框、表格或侧边栏
• [ ] 标准字体（Calibri、Arial、Garamond）10-12pt
• [ ] 无图像、图形、图标、技能条或图表
• [ ] 页眉或页脚中无内容
• [ ] 全文日期格式一致（Month Year – Month Year）
• [ ] 文件名包含您的姓名："FirstName-LastName-Credit-Analyst-Resume.docx"

章节结构

• [ ] 联系信息在文档正文中（非页眉/页脚）
• [ ] 职业摘要章节（3-4句带关键词和指标）
• [ ] 工作经历章节包含公司、职位、日期和要点
• [ ] 教育章节包含学位、院校和毕业年份
• [ ] 技能章节按类别组织（Technical、Tools、Regulatory）
• [ ] 认证章节包含全称和颁发机构
• [ ] 使用标准章节标题（"Professional Experience"而非"Career Story"）

关键词优化

• [ ] "Credit analysis"或"credit risk"在简历中至少出现3次
• [ ] "Financial statement analysis"同时出现在摘要和经历中
• [ ] 至少3个具体工具在上下文中提及（Bloomberg、Moody's、Capital IQ等）
• [ ] 如职位描述中提及则包含监管术语（Basel III、CECL、IFRS 9）
• [ ] 认证缩写和全称均已列出
• [ ] 行业特定术语尽可能逐字匹配职位描述
• [ ] 软技能通过成就要点展示，而非列为形容词

量化

• [ ] 组合规模以金额标注
• [ ] 每年分析的借款人或信贷数量已列出
• [ ] 百分比改善（周转时间、准确率、回收率）
• [ ] 支持的收入或发起量
• [ ] 团队规模（如适用）
• [ ] 至少8个要点包含具体指标

定制化

• [ ] 简历已针对具体职位描述进行定制
• [ ] "Required Qualifications"章节中的关键词全部出现在简历中
• [ ] "Preferred Qualifications"章节中的关键词在真实的情况下已包含
• [ ] 简历上的职位名称与发布的标题匹配或非常接近
• [ ] 行业重点对齐（commercial、consumer、investment、corporate）

薪资背景和职业定位

了解您的经验如何映射到薪酬分布有助于有效定位简历。根据BLS信用分析师（SOC 13-2041）数据，工资百分位如下 [1]：

大型银行的高级信用分析师薪资为$77,000至$101,700，而入门级Credit Analyst I职位范围为$47,400至$66,000 [10]。信用分析师薪酬最高的行业是证券和商品交易所，其次是企业管理和货币当局（联邦储备银行）。

撰写简历时，请根据目标薪酬水平的预期范围调整成就要点。目标第75百分位的候选人应展示组合管理、独立交易执行和指导能力——而非仅展示分析任务完成。

常见问题

信用分析师简历应使用什么文件格式？

默认使用.docx（Microsoft Word）。它在所有主要ATS平台上正确解析，包括Workday、iCIMS、Greenhouse和Taleo。如果雇主特别要求PDF，请确保您的PDF是基于文本的（从Word或文本编辑器创建）而非扫描图像。您可以通过从PDF中选择和复制文本来测试——如果无法高亮单个词语，ATS也无法读取。

应包含多少关键词，放在哪里？

目标20-30个岗位特定关键词，自然分布在职业摘要、工作经历要点和技能章节中。职业摘要权重最高，因为ATS平台对文档前部出现的关键词评分更高。工作经历应在上下文中包含关键词（"Conducted credit risk assessment for a $500M C&I portfolio"）而非作为独立术语。技能章节作为不适合自然融入要点的术语的关键词补充。

即使尚未完成CFA或FRM认证，是否应列出？

是的，但要精确说明状态。写"CFA Level II Candidate — CFA Institute — Exam scheduled June 2026"或"FRM Part I Passed — GARP — Pursuing Part II"。ATS将匹配"CFA"和"FRM"，无论完成状态如何，人工审阅者将看到您正在积极追求该资质。永远不要声称您尚未获得的资质——CFA Institute和GARP积极执行其标志，虚假陈述是永久禁止的理由 [6]。

商业信用分析师和消费信贷分析师角色是否需要不同的简历？

是的。商业信用分析和消费信贷分析有重叠但不同的关键词集。商业角色强调financial statement analysis、credit memorandums、C&I lending、CRE underwriting和covenant monitoring。消费角色强调credit scoring models (FICO)、regulatory compliance (ECOA, TILA, FCRA)、portfolio analytics和delinquency management。向消费信贷角色提交以商业为重点的简历将导致低ATS匹配分数，即使您的基础技能可以转移。

如何处理信用分析师简历上的就业空白？

ATS系统自动解析日期并计算任期。6个月以上的未解释空白将被标记。如果您在追求教育（MBA、CFA备考、认证），请在教育章节中列出日期以覆盖空白。如果您做了合同或咨询工作，请作为一个职位列出。如果空白是个人原因，保持简历格式干净，在求职信中说明——ATS基于关键词匹配和经验相关性评分，而非空白长度，但人工审阅者会注意到。

引用

1. U.S. Bureau of Labor Statistics. "Credit Analysts — Occupational Employment and Wage Statistics, May 2024." https://www.bls.gov/oes/current/oes132041.htm

2. Jobscan. "ATS Formatting Mistakes: You Need to Avoid These." https://www.jobscan.co/blog/ats-formatting-mistakes/

3. Boston Institute of Analytics. "Top 10 Mistakes That Get Your Resume Rejected By ATS." https://bostoninstituteofanalytics.org/blog/top-10-mistakes-that-get-your-resume-rejected-by-ats-and-how-to-fix-them/

4. ZipRecruiter. "Credit Analyst Must-Have Skills List & Keywords for Your Resume." https://www.ziprecruiter.com/career/Credit-Analyst/Resume-Keywords-and-Skills

5. S&P Global. "S&P Capital IQ Pro Platform." https://www.spglobal.com/marketintelligence/en/solutions/sp-capital-iq-pro

6. Global Association of Risk Professionals. "FRM Exam, Financial Risk Manager Certification." https://www.garp.org/frm

7. Risk Management Association. "Credit Risk Certification (CRC)." https://www.rmahq.org/credit-risk-certification

8. National Association of Credit Management. "Credit Business Associate (CBA)." https://nacm.org/certification/cba.html

9. Graduate Financial Recruitment. "Common Mistakes ATS Systems Reject in CV Analysis." https://graduatefinancialrecruitment.com/profile/common-mistakes-ats-systems-reject-in-cv-analysis/

10. Salary.com. "Credit Analyst Salary — February 2026." https://www.salary.com/research/salary/listing/credit-analyst-salary

{
  "opening_hook": "The Bureau of Labor Statistics reports 67,800 credit analysts employed across the United States with a median annual wage of $80,970 — yet the occupation is projected to decline 4% through 2034, shedding roughly 3,000 positions as automated underwriting tools absorb routine credit decisioning. That shrinking headcount means every open role attracts a denser applicant pool, and banks, insurance carriers, and corporate lenders lean harder on Applicant Tracking Systems to filter candidates before a human reviewer ever reads page one.",
  "key_takeaways": [
    "Three keywords — Analysis, Communication Skills, and Financial Statements — account for 41.21% of ATS keyword frequency in credit analyst job postings",
    "Submit resumes as .docx files with single-column layouts and standard section headers to ensure reliable ATS parsing",
    "Every work experience bullet should follow the Action Verb + Task + Quantified Result formula with portfolio dollar amounts and borrower counts",
    "Mirror exact regulatory terminology (Basel III, CECL, IFRS 9) from the job description rather than paraphrasing",
    "Customize keyword deployment for each application — commercial, consumer, and investment credit roles have distinct keyword sets"
  ],
  "citations": [
    {"number": 1, "title": "Credit Analysts — Occupational Employment and Wage Statistics, May 2024", "url": "https://www.bls.gov/oes/current/oes132041.htm", "publisher": "U.S. Bureau of Labor Statistics"},
    {"number": 2, "title": "ATS Formatting Mistakes: You Need to Avoid These", "url": "https://www.jobscan.co/blog/ats-formatting-mistakes/", "publisher": "Jobscan"},
    {"number": 3, "title": "Top 10 Mistakes That Get Your Resume Rejected By ATS", "url": "https://bostoninstituteofanalytics.org/blog/top-10-mistakes-that-get-your-resume-rejected-by-ats-and-how-to-fix-them/", "publisher": "Boston Institute of Analytics"},
    {"number": 4, "title": "Credit Analyst Must-Have Skills List & Keywords for Your Resume", "url": "https://www.ziprecruiter.com/career/Credit-Analyst/Resume-Keywords-and-Skills", "publisher": "ZipRecruiter"},
    {"number": 5, "title": "S&P Capital IQ Pro Platform", "url": "https://www.spglobal.com/marketintelligence/en/solutions/sp-capital-iq-pro", "publisher": "S&P Global"},
    {"number": 6, "title": "FRM Exam, Financial Risk Manager Certification", "url": "https://www.garp.org/frm", "publisher": "Global Association of Risk Professionals"},
    {"number": 7, "title": "Credit Risk Certification (CRC)", "url": "https://www.rmahq.org/credit-risk-certification", "publisher": "Risk Management Association"},
    {"number": 8, "title": "Credit Business Associate (CBA)", "url": "https://nacm.org/certification/cba.html", "publisher": "National Association of Credit Management"},
    {"number": 9, "title": "Common Mistakes ATS Systems Reject in CV Analysis", "url": "https://graduatefinancialrecruitment.com/profile/common-mistakes-ats-systems-reject-in-cv-analysis/", "publisher": "Graduate Financial Recruitment"},
    {"number": 10, "title": "Credit Analyst Salary — February 2026", "url": "https://www.salary.com/research/salary/listing/credit-analyst-salary", "publisher": "Salary.com"},
    {"number": 11, "title": "Resume Skills for Credit Analyst — Updated for 2025", "url": "https://resumeworded.com/skills-and-keywords/credit-analyst-skills", "publisher": "Resume Worded"},
    {"number": 12, "title": "Credit Analyst Job Description", "url": "https://corporatefinanceinstitute.com/resources/career/credit-analyst-job-description/", "publisher": "Corporate Finance Institute"},
    {"number": 13, "title": "Credit Analyst Job Description — Updated for 2025", "url": "https://www.indeed.com/hire/job-description/credit-analyst", "publisher": "Indeed"},
    {"number": 14, "title": "13-2041.00 — Credit Analysts", "url": "https://www.onetonline.org/link/summary/13-2041.00", "publisher": "O*NET OnLine"}
  ],
  "meta_description": "Optimize your credit analyst resume for ATS screening with 30+ keywords, 15 bullet examples, formatting rules, and a pre-submission checklist backed by BLS data.",
  "prompt_version": "v2.0-cli"
}