Business Analyst (wealth management), Madrid
Empresa
UST
Provincia
Madrid
Ciudad
Madrid
Tipo de Contrato
Tiempo Completo
Descripción
Business Analyst (wealth management)
We are looking for the very Top Talent and we would be delighted if you were to join our team!
More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.
What we look for?
We are looking for an experienced Requirements Engineer with a strong background in regulatory reporting within the financial services industry. The ideal candidate combines solid regulatory domain knowledge (EMIR, MiFID/MiFIR, AMLD5, country-specific reporting) with strong data analysis and specification skills, and is comfortable acting as a bridge between business, compliance, and technical teams. A proactive, detail-oriented professional who can work independently under regulatory deadlines will thrive in this role.
Main tasks and accountabilities will be:
Translate business, compliance, and regulatory requirements into clear, structured, and implementable functional and technical specifications
Document reporting logic, data transformations, and field-level requirements, ensuring alignment with regulatory guidelines
Lead data mapping activities between source systems and regulatory reporting schemas (XML, JSON, CSV, proprietary formats)
Prototype regulatory report outputs using SQL and Python to validate reporting logic and identify data gaps
Identify missing data, inconsistencies, and required transformation rules to ensure accurate reporting
Define and support data validation rules and quality checks
Collaborate closely with compliance, regulatory SMEs, architects, and delivery teams to validate interpretations and design feasible solutions
Support development, testing, and production rollout of regulatory reports
Prepare edge cases, validation scenarios, and reference examples for expected report outputs
Ensure end-to-end traceability from regulatory obligations through specifications to delivered reports
Support defect analysis and contribute to timely issue resolution
What do we expect from you?
Strong understanding of financial regulations, especially EMIR / EMIR Refit, MiFID II / MiFIR, AMLD5, and country-specific bank reporting (e.g. Spain, Italy, Luxembourg, Portugal)
Good knowledge of trade lifecycle concepts and financial products (securities, derivatives, FX, etc.)
Proven experience with regulatory reporting formats and principles
Strong SQL skills for data validation and analysis
Working knowledge of Python for prototyping, output structuring, and logic testing
Experience working with XML, JSON, and structured data formats
Ability to understand data models, schemas, and integration flows at a conceptual level
Solid experience producing clear and structured functional specifications
Ability to manage ambiguity, drive decisions, and work effectively with multiple stakeholders
Structured, analytical, and detail-oriented mindset
Excellent communication skills with both business and technical audiences
Ability to work independently and under time pressure driven by regulatory deadlines
Bachelor s or Master s degree in Finance, Economics, Business, Computer Science, Engineering, Data Science, or similar
7+ years of experience in data engineering, backend engineering, or a strong data-focused role
Experience in regulated environments is a strong advantage
Fluent English (German and/or French is a plus)
Nice-to-have: experience with Temenos T24 / Transact, Temenos Triple A, or similar core banking platforms
Work Location
Hybrid position in Madrid (3 days at clients office, Sol area, next to the underground).
Work Schedule
Business hours (40 hours weekly with 1 hour for lunch).
What can we offer?
23 days of Annual Leave plus the 24th and 31st of December as discretionary days!
Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).
Retribución Flexible Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan )
Free access to several training platforms
Professional stability and career plans
UST also, compensates referrals from which you could benefit when you refer professionals.
The option to pick between 12 or 14 payments along the year.
Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime )
UST Club Platform discounts and gym Access discounts
If you would like to know more, don t hesitate to apply and we ll get in touch to fill you in detail. We are waiting for you!
In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability Inclusion, so we are interested in hiring people with disability certificate.
Skills:
data modeling,functional specification document,regulatory requirements,xml language,
data modeling, xml, SQL
We are looking for the very Top Talent and we would be delighted if you were to join our team!
More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.
What we look for?
We are looking for an experienced Requirements Engineer with a strong background in regulatory reporting within the financial services industry. The ideal candidate combines solid regulatory domain knowledge (EMIR, MiFID/MiFIR, AMLD5, country-specific reporting) with strong data analysis and specification skills, and is comfortable acting as a bridge between business, compliance, and technical teams. A proactive, detail-oriented professional who can work independently under regulatory deadlines will thrive in this role.
Main tasks and accountabilities will be:
Translate business, compliance, and regulatory requirements into clear, structured, and implementable functional and technical specifications
Document reporting logic, data transformations, and field-level requirements, ensuring alignment with regulatory guidelines
Lead data mapping activities between source systems and regulatory reporting schemas (XML, JSON, CSV, proprietary formats)
Prototype regulatory report outputs using SQL and Python to validate reporting logic and identify data gaps
Identify missing data, inconsistencies, and required transformation rules to ensure accurate reporting
Define and support data validation rules and quality checks
Collaborate closely with compliance, regulatory SMEs, architects, and delivery teams to validate interpretations and design feasible solutions
Support development, testing, and production rollout of regulatory reports
Prepare edge cases, validation scenarios, and reference examples for expected report outputs
Ensure end-to-end traceability from regulatory obligations through specifications to delivered reports
Support defect analysis and contribute to timely issue resolution
What do we expect from you?
Strong understanding of financial regulations, especially EMIR / EMIR Refit, MiFID II / MiFIR, AMLD5, and country-specific bank reporting (e.g. Spain, Italy, Luxembourg, Portugal)
Good knowledge of trade lifecycle concepts and financial products (securities, derivatives, FX, etc.)
Proven experience with regulatory reporting formats and principles
Strong SQL skills for data validation and analysis
Working knowledge of Python for prototyping, output structuring, and logic testing
Experience working with XML, JSON, and structured data formats
Ability to understand data models, schemas, and integration flows at a conceptual level
Solid experience producing clear and structured functional specifications
Ability to manage ambiguity, drive decisions, and work effectively with multiple stakeholders
Structured, analytical, and detail-oriented mindset
Excellent communication skills with both business and technical audiences
Ability to work independently and under time pressure driven by regulatory deadlines
Bachelor s or Master s degree in Finance, Economics, Business, Computer Science, Engineering, Data Science, or similar
7+ years of experience in data engineering, backend engineering, or a strong data-focused role
Experience in regulated environments is a strong advantage
Fluent English (German and/or French is a plus)
Nice-to-have: experience with Temenos T24 / Transact, Temenos Triple A, or similar core banking platforms
Work Location
Hybrid position in Madrid (3 days at clients office, Sol area, next to the underground).
Work Schedule
Business hours (40 hours weekly with 1 hour for lunch).
What can we offer?
23 days of Annual Leave plus the 24th and 31st of December as discretionary days!
Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).
Retribución Flexible Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan )
Free access to several training platforms
Professional stability and career plans
UST also, compensates referrals from which you could benefit when you refer professionals.
The option to pick between 12 or 14 payments along the year.
Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime )
UST Club Platform discounts and gym Access discounts
If you would like to know more, don t hesitate to apply and we ll get in touch to fill you in detail. We are waiting for you!
In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability Inclusion, so we are interested in hiring people with disability certificate.
Skills:
data modeling,functional specification document,regulatory requirements,xml language,
data modeling, xml, SQL